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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
    11. 341
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    Explanations

    questions starting with "Why" or "How."

    oai_token-act-pair · gpt-3.5-turbo

    questions or inquiries regarding actions and situations

    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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    Negative Logits
    iHUD
    -0.67
    ares
    -0.67
    orge
    -0.66
    fman
    -0.65
    orage
    -0.64
    Runner
    -0.63
    bit
    -0.62
    arer
    -0.62
    ko
    -0.61
    vantage
    -0.60
    POSITIVE LOGITS
    ?]
    1.04
    ?
    0.86
    ?:
    0.86
    ?),
    0.83
    ?)
    0.83
    ?ãĢį
    0.79
    ?).
    0.78
    ?,
    0.77
    ?".
    0.76
    ?!
    0.75
    Activations Density 0.052%

    No Known Activations