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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. 10-RES-JB
    6. 2292
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    Explanations

    places or things related to specific industries or activities

    oai_token-act-pair · gpt-3.5-turbo

    nouns associated with specific objects, locations, or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erity
    -0.78
    ouls
    -0.77
    selves
    -0.75
     Reps
    -0.73
     Sections
    -0.72
     lows
    -0.69
    ishops
    -0.68
     Levels
    -0.68
    nces
    -0.67
     Zombies
    -0.67
    POSITIVE LOGITS
    hander
    0.92
     airliner
    0.78
     vessel
    0.76
     generator
    0.76
     supplier
    0.75
     thief
    0.75
     scheme
    0.74
     fundraiser
    0.72
     cutter
    0.71
     processor
    0.71
    Activations Density 0.611%

    No Known Activations