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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. 2-RES-JB
    11. 4015
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    Explanations

    mentions of clothing items, specifically shirts

    oai_token-act-pair · gpt-3.5-turbo

    references to shirts or clothing items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    audi
    -0.73
    nesota
    -0.69
    mercial
    -0.67
    judicial
    -0.66
     Horror
    -0.64
    sound
    -0.62
    yrinth
    -0.61
    VEN
    -0.61
     CENT
    -0.60
     Democr
    -0.60
    POSITIVE LOGITS
     shirts
    1.12
     shirt
    1.10
    shirt
    1.08
     sleeves
    1.07
     sleeve
    1.05
    leeve
    1.01
    shirts
    0.99
     Shirt
    0.97
    igans
    0.91
    hirt
    0.86
    Activations Density 0.005%

    No Known Activations