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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. 9-RES-JB
    11. 3739
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    Explanations

    proper nouns or names, potentially related to entertainment or sports

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Tab"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĨĴ
    -0.79
    IVERS
    -0.74
     Lauder
    -0.69
    女
    -0.66
     LAT
    -0.62
    Downloadha
    -0.60
     CHRIST
    -0.60
     Dortmund
    -0.59
    xp
    -0.58
     Lynd
    -0.58
    POSITIVE LOGITS
    ular
    1.34
    ulated
    1.32
    ulation
    1.28
    bed
    1.23
    lished
    1.19
    ulations
    1.18
    oola
    1.17
    ulator
    1.13
    ula
    1.09
    bing
    1.08
    Activations Density 0.038%

    No Known Activations