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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. 0-RES-JB
    11. 10066
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    Explanations

    dates represented in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    dates and references to specific days

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     refund
    -0.73
     shotgun
    -0.70
     bleed
    -0.67
     inund
    -0.64
     subscript
    -0.64
     stocking
    -0.63
     microwave
    -0.63
     multim
    -0.63
    finder
    -0.62
    kowski
    -0.62
    POSITIVE LOGITS
     Jun
    3.66
    Jun
    3.11
     Jul
    2.08
    jun
    1.79
     Apr
    1.78
     jun
    1.60
    Apr
    1.58
    Jul
    1.56
     Sep
    1.50
     Jan
    1.42
    Activations Density 0.015%

    No Known Activations