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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. 0-RES-JB
    11. 19261
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    Explanations

    references to fish or seafood

    oai_token-act-pair · gpt-3.5-turbo

    references to fish and seafood

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iday
    -0.78
    semb
    -0.75
     Anthem
    -0.75
     McGee
    -0.73
    enburg
    -0.71
    --------------------------------------------------------
    -0.70
    BM
    -0.69
     Sheridan
    -0.68
    blance
    -0.67
    endar
    -0.67
    POSITIVE LOGITS
     fish
    3.55
     fishes
    2.85
    Fish
    2.52
    fish
    2.39
     Fish
    2.37
     salmon
    2.29
     trout
    2.13
     seafood
    2.01
     tuna
    1.98
     fishing
    1.93
    Activations Density 0.020%

    No Known Activations