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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. 2552
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    Explanations

    mention of specific names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
     Pastebin
    -0.78
    semble
    -0.72
    ulhu
    -0.72
     spare
    -0.67
    alion
    -0.64
    «ĺ
    -0.60
    unal
    -0.57
    alogue
    -0.56
     Drawn
    -0.56
     Kyoto
    -0.56
    POSITIVE LOGITS
    stown
    0.86
    ville
    0.77
     County
    0.76
    hurst
    0.74
     Creek
    0.74
    ston
    0.72
    mania
    0.71
    acre
    0.68
     Brothers
    0.68
    istas
    0.68
    Activations Density 0.241%

    No Known Activations