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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. 7-RES-JB
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    Explanations

    names of a specific person - "Shane" - and related information or actions involving him

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Shane."

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    é¾įå¥ij士
    -0.95
    女
    -0.95
    insula
    -0.83
    astics
    -0.82
    yrinth
    -0.80
    Īè
    -0.79
    ¥µ
    -0.78
    olith
    -0.76
    rontal
    -0.75
    sylv
    -0.74
    POSITIVE LOGITS
     Shane
    0.96
     McMahon
    0.86
     Bauer
    0.81
     Greene
    0.77
     Burke
    0.73
     Braun
    0.71
    patrick
    0.70
     Meadows
    0.68
     Leone
    0.68
     Dixon
    0.68
    Activations Density 0.028%

    No Known Activations