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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. 10-RES-JB
    11. 12498
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    Explanations

    time-related terms referring to the future such as "weeks", "days", and "months"

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods, specifically upcoming weeks, days, and months

    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
    edIn
    -0.83
     hypocr
    -0.72
    guyen
    -0.66
    rosse
    -0.61
    iuses
    -0.56
     wrongful
    -0.55
    chnology
    -0.55
     misuse
    -0.54
    Choice
    -0.54
     cumbers
    -0.54
    POSITIVE LOGITS
    hops
    0.90
    pring
    0.88
     onwards
    0.80
    frames
    0.73
    è¡
    0.73
    hift
    0.73
    ãĥĥ
    0.73
    ãĥĹ
    0.72
     depending
    0.72
    ":"/
    0.69
    Activations Density 0.075%

    No Known Activations