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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. 11-RES-JB
    6. 8176
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    INDEX
    Explanations

    numerical figures and percentages

    oai_token-act-pair · gpt-3.5-turbo

    references to polling percentages and statistical comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    pire
    -0.62
    æ©
    -0.61
    acus
    -0.60
     compass
    -0.60
    rouse
    -0.60
    1024
    -0.58
     exce
    -0.57
    ettings
    -0.57
    ãĥ¯ãĥ³
    -0.56
    airo
    -0.56
    POSITIVE LOGITS
     52
    1.54
     53
    1.54
     51
    1.53
     47
    1.52
     46
    1.52
     44
    1.49
     54
    1.49
     43
    1.47
     57
    1.45
     56
    1.44
    Activations Density 0.201%

    No Known Activations