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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. 9-RES-JB
    11. 7175
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to video game titles and their qualities or features

    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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    Negative Logits
    cius
    -0.78
     Cent
    -0.66
     aging
    -0.65
    abwe
    -0.63
     separat
    -0.63
    heit
    -0.61
     PAT
    -0.60
     furn
    -0.60
     biod
    -0.60
     citiz
    -0.60
    POSITIVE LOGITS
    Nintendo
    0.97
    Fans
    0.94
    Rum
    0.91
    Netflix
    0.89
    Samsung
    0.89
    PHOTOS
    0.88
    Crunch
    0.86
    à©
    0.83
    Speaking
    0.83
    ãĥij
    0.82
    Activations Density 0.360%

    No Known Activations