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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 20263
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    Explanations

    words related to meeting a standard or achieving a goal

    oai_token-act-pair · gpt-3.5-turbo

    references to achieving or indicating a "mark" or standard

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    ãĥ´ãĤ¡
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    Reply
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    aband
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    POSITIVE LOGITS
    manship
    1.40
    downs
    1.08
    down
    1.01
    emark
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    posts
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    ups
    0.87
    marks
    0.87
     Twain
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    ename
    0.82
    eters
    0.80
    Activations Density 0.025%

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