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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 21239
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    Explanations

    the word "daily."

    oai_token-act-pair · gpt-3.5-turbo

    references to daily activities or routines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    holes
    -0.96
    essee
    -0.87
     Gould
    -0.83
    OHN
    -0.82
    artisan
    -0.80
    dinand
    -0.78
    hole
    -0.77
    atchewan
    -0.77
    eer
    -0.76
    erala
    -0.75
    POSITIVE LOGITS
    motion
    1.12
     occurrence
    0.97
     occurrences
    0.85
     dose
    0.85
     necessities
    0.84
     servings
    0.84
     routines
    0.82
     commute
    0.82
     intervals
    0.81
     basis
    0.80
    Activations Density 0.023%

    No Known Activations