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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. 3-RES-JB
    11. 8962
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    INDEX
    Explanations

    phrases related to having an interest or curiosity in something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of interest in various subjects or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apple
    -0.74
    graded
    -0.68
     stacked
    -0.64
    car
    -0.64
    accept
    -0.63
    mit
    -0.63
    hew
    -0.63
    facts
    -0.62
    pler
    -0.62
    flat
    -0.62
    POSITIVE LOGITS
     interested
    0.94
     Interest
    0.85
     warr
    0.83
    reprene
    0.76
     incorpor
    0.75
     disse
    0.74
     citiz
    0.72
     buyers
    0.72
    =#
    0.71
     onlook
    0.71
    Activations Density 0.016%

    No Known Activations