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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 22828
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    Explanations

    phrases related to questioning reasons or explanations

    oai_token-act-pair · gpt-3.5-turbo

    inquiries related to reasons or explanations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    olor
    -0.66
     redeemed
    -0.60
     redeem
    -0.59
     occupancy
    -0.58
     accur
    -0.58
     equivalents
    -0.57
     blending
    -0.56
    unn
    -0.55
     taxp
    -0.55
     rooft
    -0.54
    POSITIVE LOGITS
    ?
    0.91
    !?
    0.86
    ?:
    0.86
    ?!
    0.74
     so
    0.73
     Hebdo
    0.72
    ????
    0.71
    instead
    0.71
    ?,
    0.71
    ?????
    0.71
    Activations Density 0.369%

    No Known Activations