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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 15997
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    Explanations

    proper nouns related to people's names

    oai_token-act-pair · gpt-3.5-turbo

    names and references related to specific individuals or characters, particularly in the context of narratives or discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icum
    -0.79
    ificate
    -0.78
    alogue
    -0.77
    arians
    -0.72
    fast
    -0.72
    ayed
    -0.71
    iency
    -0.71
    ential
    -0.70
     ion
    -0.68
    inity
    -0.68
    POSITIVE LOGITS
     Mae
    1.12
    merce
    0.99
    ovember
    0.83
    undai
    0.80
    ugi
    0.78
     mammoth
    0.75
    ujah
    0.73
     cerv
    0.72
     neighb
    0.71
    zie
    0.71
    Activations Density 0.018%

    No Known Activations