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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. 11-RES-JB
    11. 2522
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    Explanations

    part-time work-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to part-time employment and work arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ukong
    -0.63
    aceae
    -0.58
    Ń·
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     blot
    -0.55
    amn
    -0.55
     Codex
    -0.54
     Images
    -0.54
     extrap
    -0.53
    vier
    -0.53
    POSITIVE LOGITS
    time
    1.58
    timer
    1.24
    tim
    1.20
     time
    1.19
    Time
    1.14
    TIME
    1.13
     timers
    1.03
    Timer
    1.00
     TIME
    0.97
     Time
    0.96
    Activations Density 0.061%

    No Known Activations