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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. 7-RES-JB
    11. 9876
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    Explanations

    weekday-related activities or events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific days of the week or regular schedules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urat
    -0.89
    atche
    -0.79
    zik
    -0.76
    cius
    -0.75
    ivas
    -0.74
    igree
    -0.74
    rero
    -0.73
    boa
    -0.72
    roots
    -0.71
    ono
    -0.71
    POSITIVE LOGITS
     mornings
    1.23
     weekday
    1.00
    morning
    0.77
     morning
    0.76
    dayName
    0.72
     airs
    0.71
     afternoon
    0.70
     evening
    0.70
     intervals
    0.68
    aturdays
    0.67
    Activations Density 0.016%

    No Known Activations