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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. 10348
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    Explanations

    time-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to time intervals or durations, particularly in terms of days, weeks, 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
    retty
    -0.64
    aimon
    -0.62
    oki
    -0.60
     Construct
    -0.60
    anooga
    -0.58
     equilibrium
    -0.58
    unta
    -0.57
    ggles
    -0.57
    jac
    -0.56
    oc
    -0.56
    POSITIVE LOGITS
     shy
    0.95
     ahead
    0.95
     before
    0.85
     Ago
    0.76
     Ahead
    0.74
     after
    0.73
     AFTER
    0.73
     BEFORE
    0.73
     overdue
    0.72
    ago
    0.69
    Activations Density 0.064%

    No Known Activations