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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 8-RES-JB
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    Explanations

    mentions of specific clothing items, especially shirts, at a high activation level

    oai_token-act-pair · gpt-3.5-turbo

    references to shirts and clothing items

    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
    nesota
    -0.71
    audi
    -0.68
    cffffcc
    -0.67
    yrinth
    -0.66
    ths
    -0.66
     satellites
    -0.64
    ruciating
    -0.64
    judicial
    -0.63
    sys
    -0.62
     ingred
    -0.61
    POSITIVE LOGITS
    leeve
    1.20
     sleeve
    1.19
     sleeves
    1.15
    shirt
    1.11
     shirts
    1.10
    shirts
    1.06
    hirt
    1.05
     worn
    1.04
     shirt
    1.03
     collar
    0.99
    Activations Density 0.041%

    No Known Activations