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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. 7-RES-JB
    11. 12650
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    Explanations

    information related to popular, typically top-rated topics or rankings

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with popularity and rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ALSE
    -0.66
    ĪĴ
    -0.63
    EStreamFrame
    -0.63
     robotics
    -0.62
    ternity
    -0.60
     Robotics
    -0.60
     Cyber
    -0.60
     Antarctic
    -0.59
     Jackets
    -0.59
     steroids
    -0.59
    POSITIVE LOGITS
    icipated
    1.08
    isable
    0.79
     imaginable
    0.75
    oppers
    0.73
     agric
    0.72
    erville
    0.70
    ever
    0.70
    eff
    0.70
    ranged
    0.69
    iest
    0.68
    Activations Density 0.121%

    No Known Activations