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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. 11705
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    INDEX
    Explanations

    dates and events related to mortality

    oai_token-act-pair · gpt-3.5-turbo

    references to mortality and associated statistics in a context related to health studies

    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
     trillions
    -0.78
    conom
    -0.71
    billion
    -0.71
    Oracle
    -0.70
     slams
    -0.68
    legraph
    -0.68
    illions
    -0.65
     Bounce
    -0.65
    big
    -0.64
    Scroll
    -0.64
    POSITIVE LOGITS
     âī¥
    1.14
     baseline
    1.07
     âī¤
    1.05
     placebo
    1.03
     Subjects
    1.02
    ivari
    0.98
     cohort
    0.98
     Participants
    0.94
     randomized
    0.94
     BMI
    0.94
    Activations Density 0.303%

    No Known Activations