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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. 9709
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of characters, brands, or cultural references

    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
    assetsadobe
    -0.67
     unequiv
    -0.63
     HIP
    -0.60
     uncons
    -0.59
     Medicare
    -0.59
     general
    -0.54
     emails
    -0.54
    å¼
    -0.52
     Mb
    -0.52
     [];
    -0.52
    POSITIVE LOGITS
    eware
    0.83
    astery
    0.77
    iken
    0.77
    utenberg
    0.76
    icycle
    0.76
    ipers
    0.75
    keyes
    0.74
    ilian
    0.74
    roller
    0.73
    iverpool
    0.73
    Activations Density 0.348%

    No Known Activations