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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. 4-RES-JB
    11. 9206
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    Explanations

    large numerical figures, typically related to financial transactions or estimates

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    krit
    -0.83
    ivist
    -0.80
    itiz
    -0.79
     tremend
    -0.74
    beat
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    icka
    -0.73
    azeera
    -0.71
    imen
    -0.66
    anes
    -0.65
    erity
    -0.65
    POSITIVE LOGITS
     è£ıè¦ļéĨĴ
    1.12
     crore
    0.91
     gp
    0.82
    gp
    0.81
     Hz
    0.80
     yen
    0.80
     yuan
    0.79
     000
    0.79
     Percentage
    0.78
    mAh
    0.75
    Activations Density 0.067%

    No Known Activations