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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. 0-RES-JB
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    Explanations

    words related to schedules or timeliness

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "schedule"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ells
    -0.78
    amples
    -0.76
    ÏĤ
    -0.72
    uine
    -0.63
     borne
    -0.62
    equality
    -0.62
    grave
    -0.62
     Commando
    -0.62
    bucks
    -0.62
    ifles
    -0.62
    POSITIVE LOGITS
     schedule
    4.13
     schedules
    3.02
     Schedule
    2.75
     scheduling
    2.15
    dule
    2.07
     timetable
    1.96
     calendar
    1.69
     Sched
    1.68
     scheduled
    1.52
    sche
    1.42
    Activations Density 0.009%

    No Known Activations