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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. 10-RES-JB
    6. 23683
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    Explanations

    questions and uncertainties expressed in text

    oai_token-act-pair · gpt-3.5-turbo

    questions and expressions of uncertainty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cks
    -0.76
    ixel
    -0.72
    eware
    -0.70
    obin
    -0.66
    ãĥ¼ãĥ«
    -0.66
    ipment
    -0.65
    ulner
    -0.65
    emies
    -0.64
    ainers
    -0.64
    ern
    -0.62
    POSITIVE LOGITS
     else
    0.98
     anybody
    0.91
     coincidence
    0.83
     anyone
    0.79
     anymore
    0.77
    Else
    0.70
     exactly
    0.68
     bothered
    0.64
     misunder
    0.64
    else
    0.62
    Activations Density 0.113%

    No Known Activations