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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. 21466
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    Explanations

    phrases related to a consecutive number of occurrences or events

    oai_token-act-pair · gpt-3.5-turbo

    references to consecutive or sequential events

    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
    spoken
    -0.76
    conom
    -0.75
    quin
    -0.74
    detail
    -0.72
    OTO
    -0.71
    emis
    -0.65
    liness
    -0.65
    lements
    -0.65
    alth
    -0.65
    krit
    -0.64
    POSITIVE LOGITS
     seasons
    0.85
     year
    0.82
     weekends
    0.80
     digits
    0.80
     nights
    0.79
     consecutive
    0.79
     month
    0.76
     Saturdays
    0.75
     weeks
    0.74
     summers
    0.74
    Activations Density 0.037%

    No Known Activations