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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. 9-RES-JB
    6. 22598
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    INDEX
    Explanations

    date and time-related information, including specific months and days

    oai_token-act-pair · gpt-3.5-turbo

    temporal markers and references to time periods

    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
     Cosponsors
    -0.74
     bystand
    -0.71
     inventor
    -0.68
    Voice
    -0.68
    speech
    -0.67
    rote
    -0.66
     wielding
    -0.64
     gorilla
    -0.64
    machine
    -0.64
     gestures
    -0.62
    POSITIVE LOGITS
     schedules
    1.27
     calendar
    1.23
     schedule
    1.21
     calendars
    1.20
     2019
    1.20
     weekends
    1.17
     holidays
    1.11
     Sundays
    1.11
     scheduling
    1.11
     Fridays
    1.10
    Activations Density 1.055%

    No Known Activations