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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. 2-RES-JB
    11. 1980
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    INDEX
    Explanations

    references to the concept of 'candle(s)'

    oai_token-act-pair · gpt-3.5-turbo

    references to candles and lanterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doms
    -0.71
    ordan
    -0.69
     Genetics
    -0.65
    ité
    -0.65
     Subjects
    -0.65
    laus
    -0.64
    Introduced
    -0.63
    raltar
    -0.62
     Transit
    -0.62
    ettings
    -0.62
    POSITIVE LOGITS
     candle
    1.26
     Candle
    1.07
     candles
    0.98
    lit
    0.95
    holder
    0.95
     lantern
    0.94
    pipe
    0.90
    pole
    0.86
    warm
    0.85
     torch
    0.80
    Activations Density 0.012%

    No Known Activations