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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. 3-RES-JB
    11. 8316
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    Explanations

    mentions of the term "Go" capitalized which could refer to proper nouns like "Goethe", "Goliath" or specific contexts such as "Go Fund Me"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Go."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    creen
    -0.91
    ipation
    -0.72
     ceilings
    -0.68
     leveled
    -0.67
    roleum
    -0.67
    terday
    -0.65
     Horus
    -0.65
    ament
    -0.63
     plaus
    -0.62
     Beir
    -0.61
    POSITIVE LOGITS
    lems
    1.08
    Daddy
    1.03
    verning
    1.03
    ogly
    0.98
    etz
    0.94
    ogl
    0.92
    ethe
    0.89
    vt
    0.85
    GO
    0.84
    og
    0.82
    Activations Density 0.039%

    No Known Activations