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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. 5-RES-JB
    6. 4358
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    INDEX
    Explanations

    instances where someone expresses interest in something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of interest or curiosity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ework
    -0.70
     stacked
    -0.68
     fabricated
    -0.65
    apple
    -0.65
    car
    -0.64
    mit
    -0.63
     dotted
    -0.62
    graded
    -0.61
     bunk
    -0.61
     Bom
    -0.61
    POSITIVE LOGITS
    atile
    0.75
     Interest
    0.75
    ="#
    0.73
     warr
    0.72
    =#
    0.72
     interested
    0.72
    edIn
    0.71
    CONT
    0.68
    enza
    0.68
    reprene
    0.67
    Activations Density 0.015%

    No Known Activations