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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. 2257
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    INDEX
    Explanations

    proper nouns specific to a particular individual

    oai_token-act-pair · gpt-3.5-turbo

    references to people and 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
    İĭ
    -0.90
     Candle
    -0.73
    ¿½
    -0.73
    cale
    -0.72
    £ı
    -0.71
     Continued
    -0.70
     livest
    -0.70
     pronounced
    -0.67
     Danger
    -0.66
     candle
    -0.64
    POSITIVE LOGITS
    ulk
    1.22
    ulkan
    1.05
    owl
    0.94
    regate
    0.91
    buster
    0.88
    rats
    0.87
    heed
    0.87
    ernel
    0.86
    alos
    0.86
    rolet
    0.85
    Activations Density 0.007%

    No Known Activations