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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. 1-RES-JB
    11. 5491
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    Explanations

    instances of people or things achieving recognition or notoriety

    oai_token-act-pair · gpt-3.5-turbo

    mentions of celebrity or public recognition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kinetic
    -0.65
    cise
    -0.63
    begin
    -0.61
     Stab
    -0.60
     tense
    -0.59
     MOR
    -0.58
     subt
    -0.58
     halves
    -0.57
    OTS
    -0.57
     entirety
    -0.57
    POSITIVE LOGITS
     fame
    1.22
    ilial
    0.97
    iqueness
    0.95
     renown
    0.87
     notoriety
    0.82
    rities
    0.82
    icity
    0.81
     Fame
    0.81
    frey
    0.80
    ccoli
    0.79
    Activations Density 0.008%

    No Known Activations