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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. 6-RES-JB
    6. 20913
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    Explanations

    universities and colleges

    oai_token-act-pair · gpt-3.5-turbo

    university and college names

    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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    Negative Logits
    ãĥ¯ãĥ³
    -0.74
    advertisement
    -0.73
    staking
    -0.72
    âķIJ
    -0.71
    âķIJâķIJ
    -0.69
    É
    -0.68
    /,
    -0.68
     ÂŃ
    -0.66
    ··
    -0.65
    ¯
    -0.65
    POSITIVE LOGITS
    addons
    0.70
     âĵĺ
    0.65
    letes
    0.59
     ----
    0.56
     extinct
    0.55
     Pharaoh
    0.54
     eater
    0.54
     ambassador
    0.53
    cedes
    0.52
     courts
    0.52
    Activations Density 0.204%

    No Known Activations