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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. 3-RES-JB
    11. 17926
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    Explanations

    words related to regular activities or procedures

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "routine" and related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ettle
    -0.72
    artz
    -0.68
     Hemp
    -0.68
    onz
    -0.68
    iva
    -0.66
    ippi
    -0.66
    atorial
    -0.65
    hips
    -0.64
    omed
    -0.64
    kers
    -0.64
    POSITIVE LOGITS
     routine
    1.24
     routines
    1.04
     maintenance
    0.92
    outine
    0.84
    zed
    0.75
     assignment
    0.74
    motion
    0.74
     upkeep
    0.72
     occurrences
    0.70
     everyday
    0.68
    Activations Density 0.008%

    No Known Activations