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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. 16557
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    INDEX
    Explanations

    words related to daily life activities or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    references to daily routines and common experiences

    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
    aye
    -0.88
    owitz
    -0.86
    essee
    -0.86
    zik
    -0.80
    bid
    -0.80
    ramids
    -0.78
    egal
    -0.75
    atorial
    -0.74
    atchewan
    -0.74
    dinand
    -0.73
    POSITIVE LOGITS
    motion
    0.98
     everyday
    0.90
     Everyday
    0.89
     occurrence
    0.85
     life
    0.85
     occurrences
    0.84
     necessities
    0.79
    time
    0.76
     waking
    0.75
     routine
    0.75
    Activations Density 0.015%

    No Known Activations