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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. 23328
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    Explanations

    proper nouns, specifically focusing on names ending in 'elson' with varying activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly those with the last name "Elson"

    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
     Quincy
    -0.69
    Self
    -0.67
     Fate
    -0.65
     Occupations
    -0.65
    Nap
    -0.64
     Fact
    -0.63
     Mysterious
    -0.62
     Cure
    -0.62
    quest
    -0.62
     Sheet
    -0.61
    POSITIVE LOGITS
    elson
    1.56
     Mandela
    1.18
    itsch
    1.02
    owship
    0.92
    indal
    0.89
    artney
    0.82
    hoe
    0.82
    stein
    0.82
    abba
    0.80
    loo
    0.80
    Activations Density 0.006%

    No Known Activations