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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. 15478
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    Explanations

    names of specific individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and places

    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
    chet
    -0.84
    alty
    -0.82
    umper
    -0.81
    aph
    -0.79
    gement
    -0.77
    itivity
    -0.76
    ness
    -0.76
    ician
    -0.76
    atorial
    -0.75
    awaru
    -0.75
    POSITIVE LOGITS
    ONSORED
    0.81
    ibur
    0.77
     ATK
    0.75
     Roads
    0.73
    ENTION
    0.73
     Advantage
    0.72
     Random
    0.71
     Preferred
    0.69
    quished
    0.68
     Rider
    0.67
    Activations Density 0.030%

    No Known Activations