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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. 8863
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    Explanations

    the word "eh" expressed with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    instances of the expression "eh"

    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
     Anthem
    -0.76
    ãĥ¯
    -0.75
     Samoa
    -0.68
    ãĥķãĤ©
    -0.67
     Franç
    -0.64
     Grizzlies
    -0.62
     ital
    -0.62
    rations
    -0.61
     penetration
    -0.61
    phrine
    -0.60
    POSITIVE LOGITS
    awk
    1.04
    uda
    0.99
    azard
    0.91
    awks
    0.91
    wy
    0.90
    aday
    0.90
    soever
    0.89
    itability
    0.85
    orse
    0.85
    oche
    0.84
    Activations Density 0.006%

    No Known Activations