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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. 8-RES-JB
    11. 14483
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    Explanations

    references to specific institutions or locations, particularly "Notre Dame" and "Boko Haram"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Notre Dame University and mentions of Boko Haram

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stroke
    -0.77
    è¦ļéĨĴ
    -0.73
    olitan
    -0.70
     guiActiveUnfocused
    -0.70
    eele
    -0.68
    ulators
    -0.66
     gag
    -0.62
     creation
    -0.62
    orph
    -0.61
    yrinth
    -0.60
    POSITIVE LOGITS
     Dame
    1.63
    heastern
    0.97
    cé
    0.96
    licts
    0.94
    lict
    0.93
     Haram
    0.92
    ¯
    0.83
    viation
    0.76
    ¦
    0.75
    ignt
    0.75
    Activations Density 0.041%

    No Known Activations