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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. 11-RES-JB
    11. 2830
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    Explanations

    proper nouns related to individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Thumbnails
    -0.63
    .","
    -0.58
    ãĢį
    -0.57
     AAA
    -0.56
    Roaming
    -0.54
    į
    -0.53
     ______
    -0.53
    Âł
    -0.52
    .;
    -0.51
    division
    -0.51
    POSITIVE LOGITS
    enegger
    0.96
    hurst
    0.87
    gren
    0.85
    quist
    0.84
     testified
    0.83
     argues
    0.83
    berger
    0.83
    meier
    0.82
     contends
    0.82
    baugh
    0.81
    Activations Density 0.232%

    No Known Activations