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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
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    Explanations

    references to the phrase "Notre Dame"

    oai_token-act-pair · gpt-3.5-turbo

    references to Notre Dame and related entities or events

    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
    è¦ļéĨĴ
    -0.77
    ulators
    -0.76
     stroke
    -0.72
    stroke
    -0.71
    ulating
    -0.70
    oted
    -0.67
    */(
    -0.66
    pread
    -0.65
    dyl
    -0.65
    ulative
    -0.64
    POSITIVE LOGITS
     Dame
    1.48
    heastern
    0.96
     Notre
    0.89
     mosqu
    0.76
    essor
    0.76
    viation
    0.74
    ignt
    0.73
    ANCE
    0.71
     Haram
    0.71
    hurst
    0.70
    Activations Density 0.007%

    No Known Activations