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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. 281
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    Explanations

    personal names or proper nouns, possibly from various languages

    oai_token-act-pair · gpt-3.5-turbo

    words related to existence or presence

    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
    RAW
    -0.76
    clinton
    -0.73
    SPONSORED
    -0.69
     Flavoring
    -0.66
    Defense
    -0.66
    warming
    -0.65
    agonist
    -0.64
    Cold
    -0.63
    puff
    -0.63
    CEO
    -0.62
    POSITIVE LOGITS
     alle
    0.98
     qui
    0.89
     mi
    0.85
    cknowled
    0.84
    ande
    0.83
     ja
    0.83
     thou
    0.82
     este
    0.82
     si
    0.82
     que
    0.81
    Activations Density 0.132%

    No Known Activations