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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. 8-RES-JB
    11. 16930
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    Explanations

    words related to actions, decisions, or regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to various measures or regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yles
    -0.74
    lez
    -0.71
     Reserve
    -0.71
    sites
    -0.69
    assets
    -0.66
    osta
    -0.66
    ciating
    -0.65
     Ruin
    -0.64
     Forsaken
    -0.63
    vae
    -0.63
    POSITIVE LOGITS
    MENTS
    0.89
    witz
    0.85
    ment
    0.85
    arian
    0.83
    ments
    0.79
    arians
    0.78
    ters
    0.77
    hof
    0.77
    terday
    0.75
    measures
    0.75
    Activations Density 0.021%

    No Known Activations