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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. 11-RES-JB
    11. 16529
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    Explanations

    phrases related to clothing items, specifically hoods

    oai_token-act-pair · gpt-3.5-turbo

    references to hoods, specifically in clothing and associated contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lauder
    -0.82
    MENT
    -0.69
    andum
    -0.65
    TABLE
    -0.64
    nce
    -0.63
    INO
    -0.62
    ãĤ´ãĥ³
    -0.61
    FORM
    -0.61
    ×ķ
    -0.61
    ment
    -0.61
    POSITIVE LOGITS
    ie
    1.23
    oos
    1.12
    ies
    1.07
     ornament
    1.03
    sie
    0.99
    oo
    0.96
    ed
    0.94
    edo
    0.94
    tip
    0.93
    skin
    0.88
    Activations Density 0.068%

    No Known Activations