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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. 9-RES-JB
    6. 8333
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    Explanations

    proper nouns and names, possibly related to news, photography, and legal issues

    oai_token-act-pair · gpt-3.5-turbo

    specific names, entities, or significant terms in the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
    TY
    -0.86
     TY
    -0.83
     Strongh
    -0.74
     Yo
    -0.72
    ty
    -0.70
     TODAY
    -0.69
     Tree
    -0.68
     Teen
    -0.68
     Lay
    -0.68
     Frankie
    -0.67
    POSITIVE LOGITS
    irc
    0.97
    av
    0.96
    irs
    0.89
    ibr
    0.88
    uci
    0.86
    ibia
    0.83
    ir
    0.82
    asp
    0.82
    irl
    0.82
    kov
    0.82
    Activations Density 0.392%

    No Known Activations