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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. 6-RES-JB
    6. 23601
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    INDEX
    Explanations

    large numerical values mentioned in a factual context

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to various reports and metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulet
    -0.81
    sonian
    -0.79
    sole
    -0.78
    infeld
    -0.69
    pler
    -0.68
    ufact
    -0.63
     Bened
    -0.63
    ESE
    -0.63
     fundament
    -0.63
     prolong
    -0.62
    POSITIVE LOGITS
    ths
    0.87
     lbs
    0.84
     pounds
    0.79
     ±
    0.75
     souls
    0.75
     gallons
    0.74
     sq
    0.71
    IU
    0.71
     avg
    0.70
     crore
    0.69
    Activations Density 0.068%

    No Known Activations