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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 24568
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    Explanations

    large numbers and quantities

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to population and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anything
    -0.60
    sche
    -0.60
     fundament
    -0.60
    iste
    -0.60
    nesday
    -0.60
    erness
    -0.59
    ÙIJ
    -0.59
    ¯
    -0.58
    oward
    -0.57
    bara
    -0.57
    POSITIVE LOGITS
     hectares
    0.73
     acres
    0.71
     calories
    0.71
     litres
    0.70
     downloads
    0.69
     tonnes
    0.69
     crore
    0.68
     rapes
    0.68
     SHARES
    0.68
    illion
    0.67
    Activations Density 0.161%

    No Known Activations