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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. 10-RES-JB
    6. 8884
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    Explanations

    keywords related to events happening in the future

    oai_token-act-pair · gpt-3.5-turbo

    references to upcoming events or future timelines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lees
    -0.78
    ordes
    -0.73
    baugh
    -0.68
    hess
    -0.65
    lee
    -0.64
    ensen
    -0.63
    leeve
    -0.63
    cks
    -0.62
    bows
    -0.60
    eer
    -0.60
    POSITIVE LOGITS
     week
    1.39
     month
    1.36
     year
    1.22
     semester
    1.08
     Month
    1.04
     weekend
    1.02
     spring
    1.01
     summer
    0.98
     door
    0.97
     season
    0.96
    Activations Density 0.028%

    No Known Activations