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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. 11-RES-JB
    11. 14896
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    Explanations

    numerical patterns and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to amounts or measurements

    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
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.70
     citiz
    -0.70
    ©¶æ
    -0.68
     newcom
    -0.65
    theless
    -0.64
     Citiz
    -0.62
     ende
    -0.61
     streng
    -0.61
     enthusi
    -0.61
    ortunately
    -0.60
    POSITIVE LOGITS
    .
    1.21
    %.
    0.71
    ._
    0.69
    %;
    0.67
    izons
    0.67
    *.
    0.65
    ./
    0.65
    .<
    0.65
    ½
    0.65
    .''.
    0.64
    Activations Density 0.095%

    No Known Activations