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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. 2-RES-JB
    11. 6146
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    Explanations

    entities related to a specific organization or person, specifically those represented by the letter 'E' followed by numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific entity or organization represented by "E"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Anthem
    -0.72
    ãĤ¤ãĥĪ
    -0.69
    enegger
    -0.67
    atown
    -0.67
    runners
    -0.66
     Univ
    -0.65
     Santana
    -0.65
    ãĤ±
    -0.65
    uyomi
    -0.65
    abouts
    -0.64
    POSITIVE LOGITS
    fficient
    1.01
    isner
    0.99
    nerg
    0.98
    ynes
    0.98
    AST
    0.97
    FI
    0.97
    uter
    0.96
    agle
    0.96
    ves
    0.95
    resp
    0.94
    Activations Density 0.030%

    No Known Activations