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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. 8-RES-JB
    6. 18909
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    Explanations

    phrases indicating minimum requirements or thresholds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    statements indicating a minimum requirement or threshold

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tions
    -0.75
    Reviewer
    -0.70
    quit
    -0.67
    oris
    -0.66
     Dynamics
    -0.63
    rats
    -0.62
    ãĤ¿
    -0.61
    ues
    -0.60
    icides
    -0.60
    Generic
    -0.59
    POSITIVE LOGITS
     partially
    0.88
     partly
    0.82
     moderately
    0.74
    uner
    0.74
    lik
    0.73
     SOME
    0.71
     toler
    0.70
     temporarily
    0.70
     mildly
    0.68
     marginally
    0.67
    Activations Density 0.033%

    No Known Activations