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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. 11-RES-JB
    11. 1464
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    Explanations

    phrases related to making choices or selections

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the act of choosing or selecting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ©¶æ¥µ
    -0.85
    issance
    -0.75
    ighed
    -0.71
    naissance
    -0.70
    itous
    -0.67
    ģĸ
    -0.65
    interrupted
    -0.65
    icing
    -0.65
    Requires
    -0.65
    forcing
    -0.65
    POSITIVE LOGITS
     wisely
    1.25
     favourites
    0.95
     winners
    0.94
     finalists
    0.93
     winner
    0.92
     favorite
    0.87
     favorites
    0.87
     randomly
    0.87
     preferred
    0.85
     favourite
    0.85
    Activations Density 0.192%

    No Known Activations