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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
    11. 8506
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    Explanations

    mentions of hats

    oai_token-act-pair · gpt-3.5-turbo

    references to hats or headwear

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    uality
    -0.74
    theless
    -0.70
     MSM
    -0.67
     UNIVERS
    -0.66
     Integ
    -0.64
     Impossible
    -0.63
    houn
    -0.63
     CLS
    -0.63
    ournal
    -0.63
    ¥ŀ
    -0.61
    POSITIVE LOGITS
    chet
    1.54
    chery
    1.34
    ches
    1.06
     brim
    1.04
    cher
    0.99
    eless
    0.91
    glers
    0.89
     hats
    0.85
    emark
    0.84
    pins
    0.83
    Activations Density 0.029%

    No Known Activations