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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. 21087
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    INDEX
    Explanations

    references to rankings or comparisons in datasets

    oai_token-act-pair · gpt-3.5-turbo

    data related to statistics and numerical information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    pas
    -0.81
    pal
    -0.71
    krit
    -0.69
     Unable
    -0.69
    anza
    -0.68
    >>>>>>>>
    -0.67
    Exception
    -0.65
    Bot
    -0.64
    AMY
    -0.64
    uala
    -0.63
    POSITIVE LOGITS
     respective
    1.00
     different
    0.90
     probabilities
    0.89
     various
    0.88
    verages
    0.85
     trends
    0.85
     each
    0.85
     historical
    0.84
     indicators
    0.84
     objectively
    0.84
    Activations Density 0.736%

    No Known Activations