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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. 8-RES-JB
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    Explanations

    questions about hypothetical or future scenarios

    oai_token-act-pair · gpt-3.5-turbo

    phrases and questions concerning hypothetical scenarios and outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    asio
    -0.69
    medium
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    ipped
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    akable
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    piece
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    uart
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    nown
    -0.62
     guiIcon
    -0.62
    moderate
    -0.61
    onde
    -0.60
    POSITIVE LOGITS
    ?:
    0.84
    ?,
    0.78
    rely
    0.73
     next
    0.71
    ?",
    0.70
     future
    0.68
     tomorrow
    0.67
    illions
    0.67
    ãĤµ
    0.63
     fateful
    0.63
    Activations Density 0.416%

    No Known Activations