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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. 11-RES-JB
    11. 17098
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names and titles of individuals associated with specific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.82
    Cub
    -0.74
    claw
    -0.68
    PLAY
    -0.65
    thirds
    -0.65
    communications
    -0.65
    î
    -0.61
    onies
    -0.61
     rook
    -0.60
    scenes
    -0.60
    POSITIVE LOGITS
     Kumar
    1.75
     Sharma
    1.65
     Singh
    1.61
     Gupta
    1.59
     Patel
    1.47
     Chandra
    1.40
     Gandhi
    1.40
     Rao
    1.35
     Chand
    1.33
     Yad
    1.31
    Activations Density 0.156%

    No Known Activations