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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. 10-RES-JB
    11. 9250
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    Explanations

    references to someone's presence or participation in various events or situations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "appearance" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rals
    -0.87
    bern
    -0.78
    EStreamFrame
    -0.77
    pex
    -0.74
    imb
    -0.72
    rup
    -0.72
    actionDate
    -0.70
     consortium
    -0.68
    awk
    -0.68
    ushima
    -0.67
    POSITIVE LOGITS
     appearances
    0.93
     appearance
    0.86
    lihood
    0.80
     onstage
    0.74
     Appearance
    0.73
     airs
    0.68
    orial
    0.64
    ist
    0.64
     contestant
    0.63
    antly
    0.63
    Activations Density 0.043%

    No Known Activations