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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. 6424
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    INDEX
    Explanations

    names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names

    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
    ghan
    -0.78
     bust
    -0.72
     Beef
    -0.70
    iously
    -0.70
     pots
    -0.70
    nton
    -0.66
     freshwater
    -0.65
     redundancy
    -0.64
    odium
    -0.63
    Minimum
    -0.63
    POSITIVE LOGITS
     Tou
    4.04
     tou
    1.65
     Ou
    1.15
     Yor
    1.14
     Kant
    1.10
     Toby
    0.98
     Kou
    0.97
     Nanto
    0.96
     Shinji
    0.95
     Shinra
    0.93
    Activations Density 0.032%

    No Known Activations