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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. 7-RES-JB
    6. 8070
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    INDEX
    Explanations

    questions or statements expressing uncertainty

    oai_token-act-pair · gpt-3.5-turbo

    instances of uncertainty or lack of knowledge in the text

    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
    izont
    -0.76
    ishable
    -0.72
    atism
    -0.70
    attery
    -0.70
    coni
    -0.70
    gencies
    -0.67
    aez
    -0.66
    isco
    -0.66
    otom
    -0.64
    assi
    -0.64
    POSITIVE LOGITS
     how
    0.95
     exactly
    0.82
     why
    0.81
     whether
    0.81
     anymore
    0.77
    how
    0.74
     what
    0.73
    lege
    0.71
    ledged
    0.69
    why
    0.66
    Activations Density 0.043%

    No Known Activations