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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. 1-RES-JB
    11. 20504
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    INDEX
    Explanations

    specific names related to health conditions or medications

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to people or organizations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Katy
    -0.72
     caller
    -0.70
    UME
    -0.70
    ãģĦ
    -0.69
     PLAN
    -0.69
     Quit
    -0.69
     GOODMAN
    -0.67
     balloons
    -0.65
     Kessler
    -0.64
     Gallup
    -0.63
    POSITIVE LOGITS
     Duc
    1.44
    aido
    0.92
    rative
    0.92
    otom
    0.88
    ione
    0.85
    hene
    0.81
    ros
    0.81
    fen
    0.80
    aux
    0.80
    roman
    0.79
    Activations Density 0.007%

    No Known Activations