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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10597
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    Explanations

    direct quotations or citations

    oai_token-act-pair · gpt-3.5-turbo

    parenthetical statements and sections within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     veget
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     invari
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     appropri
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     virginity
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     cones
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     stud
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     appreci
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     erect
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     piping
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    POSITIVE LOGITS
    *)
    1.35
    Note
    1.05
    BOOK
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    click
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    MORE
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    1.00
    +)
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    Activations Density 0.025%

    No Known Activations