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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 9808
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    Explanations

    the word "Du" followed by numbers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Du" in various contexts

    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
    ãģĨ
    -0.75
     Wanted
    -0.73
    mberg
    -0.73
    giving
    -0.72
    ISC
    -0.71
    nikov
    -0.71
     Locked
    -0.68
     Across
    -0.68
    ħĭ
    -0.67
    ãĤ¤ãĥĪ
    -0.67
    POSITIVE LOGITS
    pee
    0.95
    pling
    0.93
     Du
    0.90
    ente
    0.87
    isine
    0.86
    pees
    0.85
    cci
    0.85
    Pont
    0.84
    ples
    0.83
    alog
    0.82
    Activations Density 0.005%

    No Known Activations