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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. 2218
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    Explanations

    proper names "Kenneth" with a notable activation level

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Kenneth"

    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
    drive
    -0.81
    expression
    -0.77
    capital
    -0.72
    vous
    -0.70
    女
    -0.66
    neutral
    -0.66
    ebook
    -0.65
     sensitive
    -0.63
    positive
    -0.63
    talk
    -0.62
    POSITIVE LOGITS
     Kenneth
    1.28
     Starr
    0.95
     Fernandez
    0.81
     Carlos
    0.80
     Jenkins
    0.76
     XVI
    0.76
     Walton
    0.76
     Owens
    0.76
     Barton
    0.76
     Gallagher
    0.75
    Activations Density 0.006%

    No Known Activations