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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. 1473
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    Explanations

    years mentioned within the text

    oai_token-act-pair · gpt-3.5-turbo

    specific years mentioned in the text

    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
    EStreamFrame
    -0.73
    Condition
    -0.72
    cheat
    -0.68
    etheless
    -0.67
    ktop
    -0.64
    ggles
    -0.62
    venge
    -0.58
    ggle
    -0.58
    notice
    -0.57
    eps
    -0.56
    POSITIVE LOGITS
    ,
    0.82
     alone
    0.80
     Newsweek
    0.79
     Forbes
    0.71
     Nathaniel
    0.67
     Barack
    0.65
     Ronald
    0.65
     Gallup
    0.65
     Edwin
    0.64
     researchers
    0.64
    Activations Density 0.138%

    No Known Activations