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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. 3-RES-JB
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    Explanations

    instances where the word "who" is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "who."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MER
    -0.82
     Mast
    -0.73
     Mald
    -0.69
     Lions
    -0.68
    ³³³³
    -0.67
    BACK
    -0.67
    Kit
    -0.66
    PORT
    -0.64
     Delicious
    -0.63
     Glob
    -0.63
    POSITIVE LOGITS
    soever
    1.14
    oping
    1.03
    oped
    0.95
    ever
    0.90
     preceded
    0.85
     accompanies
    0.80
     cares
    0.79
    atever
    0.76
     resided
    0.74
    osh
    0.73
    Activations Density 0.159%

    No Known Activations