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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. 11417
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    INDEX
    Explanations

    references to candles and related concepts

    oai_token-act-pair · gpt-3.5-turbo

    words related to candles and their symbolic or physical uses

    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
    doms
    -0.77
    ordan
    -0.74
    ité
    -0.70
     Subjects
    -0.69
     Genetics
    -0.67
    omal
    -0.66
    artney
    -0.63
    Reviewer
    -0.63
    ettings
    -0.62
    raltar
    -0.61
    POSITIVE LOGITS
     candle
    1.19
     Candle
    1.04
    lit
    1.01
    holder
    1.00
    pipe
    0.93
     candles
    0.93
     lantern
    0.91
    warm
    0.88
    pole
    0.87
    light
    0.86
    Activations Density 0.018%

    No Known Activations