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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. 9-RES-JB
    6. 674
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    Explanations

    phrases related to questioning or making statements about various subjects

    oai_token-act-pair · gpt-3.5-turbo

    questions related to accountability and critique

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    CV
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    imil
    -0.69
    enez
    -0.67
    Ire
    -0.67
    accompanied
    -0.67
    20439
    -0.67
    POSITIVE LOGITS
    ?:
    1.39
    ?'
    1.32
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    1.28
    ?"
    1.27
    ?",
    1.27
    ?".
    1.27
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    1.27
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    1.25
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    1.22
    ...?
    1.20
    Activations Density 0.321%

    No Known Activations