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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. 4-RES-JB
    11. 4741
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    Explanations

    names or terms, potentially related to different individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

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

    No Comments

    Negative Logits
     gears
    -0.69
    ppa
    -0.67
    voy
    -0.66
    arnaev
    -0.66
    bourg
    -0.64
    perature
    -0.63
     arteries
    -0.62
    oshenko
    -0.61
    uters
    -0.60
    yip
    -0.60
    POSITIVE LOGITS
    ÃĽ
    0.84
    SourceFile
    0.73
    eki
    0.68
    dash
    0.67
    ILA
    0.66
    ACA
    0.66
    uary
    0.65
    EStreamFrame
    0.63
    Attempt
    0.63
     Genocide
    0.62
    Activations Density 0.102%

    No Known Activations