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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. 21440
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    Explanations

    dates and events from various historical contexts

    oai_token-act-pair · gpt-3.5-turbo

    time-related references and specific dates

    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
    inki
    -0.74
    eem
    -0.69
    alo
    -0.67
    ella
    -0.67
    olded
    -0.66
    afety
    -0.65
    ieu
    -0.64
    onica
    -0.64
    ById
    -0.63
    fleet
    -0.63
    POSITIVE LOGITS
     successive
    0.86
     however
    0.84
     numerous
    0.83
     countless
    0.82
     innumerable
    0.77
     administrations
    0.73
     since
    0.73
     commentators
    0.73
     psychologists
    0.72
     dozens
    0.72
    Activations Density 0.162%

    No Known Activations