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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. 18034
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    Explanations

    time schedules and specific time ranges mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    time-related phrases and schedules

    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
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.68
     leverage
    -0.63
     insect
    -0.63
    lege
    -0.63
     friction
    -0.62
     specimens
    -0.61
    wagen
    -0.61
    rency
    -0.60
     graft
    -0.60
     fung
    -0.60
    POSITIVE LOGITS
     midnight
    1.48
     noon
    1.39
     Midnight
    1.14
    noon
    1.11
     midday
    1.07
     Noon
    1.06
     dusk
    1.05
     sunset
    1.04
     TBA
    1.01
     Saturdays
    0.98
    Activations Density 0.058%

    No Known Activations