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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. 10-RES-JB
    6. 20924
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    Explanations

    programming-related keywords and phrases

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and structured data formats

    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
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    No Comments

    Negative Logits
     circumcised
    -0.83
     disg
    -0.76
     cooperating
    -0.71
     bush
    -0.69
     paw
    -0.69
     .)
    -0.67
     nuts
    -0.64
     broccoli
    -0.64
     acqu
    -0.63
     SAN
    -0.63
    POSITIVE LOGITS
    ":"
    1.56
    ":
    1.43
    ":"","
    1.41
    ":{"
    1.40
    ":[
    1.36
    Url
    1.31
    "]=>
    1.30
    ":["
    1.27
    ":[{"
    1.26
    Type
    1.22
    Activations Density 0.074%

    No Known Activations