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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. 9-RES-JB
    11. 6100
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    Explanations

    specific times and schedules

    oai_token-act-pair · gpt-3.5-turbo

    times and durations related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Volcano
    -0.61
     Furious
    -0.60
     proportion
    -0.60
    alogy
    -0.59
     Bland
    -0.59
     Territory
    -0.58
    saf
    -0.57
     Proposition
    -0.56
     habitable
    -0.56
    eries
    -0.54
    POSITIVE LOGITS
    pm
    1.56
     pm
    1.30
     noon
    1.28
    noon
    1.25
    PM
    1.24
     hrs
    1.03
    AM
    1.02
    am
    1.00
    aturdays
    0.98
    onday
    0.96
    Activations Density 0.127%

    No Known Activations