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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. 5-RES-JB
    6. 1252
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    INDEX
    Explanations

    statistical or survey-related terms such as "respondents" and percentages

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "respondents" and related references to survey participants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cop
    -0.75
     Sabb
    -0.74
    cop
    -0.72
    Cop
    -0.68
     Cart
    -0.67
     Sabha
    -0.65
     Fury
    -0.65
     slic
    -0.65
     marrow
    -0.64
     Revival
    -0.64
    POSITIVE LOGITS
     respondents
    0.94
    uggest
    0.89
     answ
    0.86
     respondent
    0.85
     interviewed
    0.80
     surveyed
    0.79
     answered
    0.77
    omnia
    0.74
     fielded
    0.73
    ixty
    0.72
    Activations Density 0.031%

    No Known Activations