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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. 9-RES-JB
    11. 2997
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    Explanations

    time-related expressions, particularly mentioning durations like years, weeks, and months

    oai_token-act-pair · gpt-3.5-turbo

    references to elapsed time, specifically in terms of years and months

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jri
    -0.67
    ettings
    -0.65
    ashtra
    -0.63
    ãĤ¢ãĥ«
    -0.62
    eatures
    -0.61
     corridors
    -0.61
     flyers
    -0.60
     metic
    -0.60
    uits
    -0.59
    ports
    -0.58
    POSITIVE LOGITS
    long
    1.27
     ago
    1.01
    glass
    0.90
    ning
    0.89
     Ago
    0.85
    gap
    0.84
    nn
    0.79
     apiece
    0.79
    wise
    0.79
    dream
    0.78
    Activations Density 0.124%

    No Known Activations