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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. 6399
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    Explanations

    television schedules, specifically time slots and program titles

    oai_token-act-pair · gpt-3.5-turbo

    specific time-related notations, particularly AM and PM designations with associated numbers

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ral
    -0.60
    displayText
    -0.56
     caps
    -0.56
     Schr
    -0.55
    rity
    -0.54
     disposable
    -0.54
    Rod
    -0.54
     naïve
    -0.54
     srfAttach
    -0.53
     Jon
    -0.53
    POSITIVE LOGITS
     747
    1.35
     768
    1.32
     698
    1.31
     529
    1.29
     670
    1.29
     499
    1.29
     610
    1.29
     660
    1.29
     601
    1.28
     737
    1.28
    Activations Density 0.088%

    No Known Activations