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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. 8-RES-JB
    6. 2899
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    Explanations

    phrases related to requirements, expectations, or orders

    oai_token-act-pair · gpt-3.5-turbo

    terms related to expectations and requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opoly
    -0.74
    anwhile
    -0.73
    enium
    -0.72
    fal
    -0.70
     Skydragon
    -0.68
    athan
    -0.67
    bard
    -0.67
    leased
    -0.67
    olitical
    -0.67
     earthqu
    -0.67
    POSITIVE LOGITS
     us
    0.86
     miracles
    0.79
     probabilities
    0.78
     limitless
    0.72
     impossibility
    0.71
     them
    0.71
     him
    0.70
     rentals
    0.69
    geries
    0.68
     extremes
    0.68
    Activations Density 0.359%

    No Known Activations