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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. 7-RES-JB
    11. 18895
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    Explanations

    references to specific bill numbers or legislative acts

    oai_token-act-pair · gpt-3.5-turbo

    specific legislative bills and their associated details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tones
    -0.68
    etimes
    -0.66
     periods
    -0.64
    eals
    -0.64
     rook
    -0.63
    ggies
    -0.61
     abyss
    -0.61
    osphere
    -0.61
     gloom
    -0.61
    TPPStreamerBot
    -0.60
    POSITIVE LOGITS
    £ı
    0.82
    20439
    0.82
    HB
    0.81
    ļéĨĴ
    0.72
    662
    0.72
    icum
    0.71
    cv
    0.71
    ĨĴ
    0.70
    KY
    0.70
    508
    0.70
    Activations Density 0.090%

    No Known Activations