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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. 3-RES-JB
    11. 24567
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    Explanations

    phrases or names with special characters or symbols

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical values or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    wcs
    -0.72
    ren
    -0.68
    few
    -0.67
    seless
    -0.66
    zed
    -0.66
     pods
    -0.61
    bott
    -0.61
    bered
    -0.60
     elim
    -0.60
    licted
    -0.60
    POSITIVE LOGITS
    NES
    0.80
    arta
    0.76
    arios
    0.75
    ARI
    0.74
    aires
    0.73
    atican
    0.70
    apest
    0.68
     Nun
    0.66
     Argentine
    0.66
     Amen
    0.66
    Activations Density 0.000%

    No Known Activations