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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. 8-RES-JB
    11. 925
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    Explanations

    expressions of amazement or admiration, such as "Wow"

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or amazement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    href
    -0.75
    icipated
    -0.70
     redress
    -0.67
     contracted
    -0.66
    ":[{"
    -0.65
     externalToEVAOnly
    -0.65
     obligated
    -0.64
     delinqu
    -0.64
     pigeon
    -0.63
     pige
    -0.63
    POSITIVE LOGITS
    zers
    1.23
    pedia
    0.93
     Wow
    0.92
    orld
    0.88
     wow
    0.87
    Wow
    0.85
    wow
    0.83
    !:
    0.81
    ls
    0.79
    aha
    0.78
    Activations Density 0.027%

    No Known Activations