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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. 10-RES-JB
    11. 8253
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    Explanations

    numbers related to screen resolutions

    oai_token-act-pair · gpt-3.5-turbo

    resolutions and dimensions related to video or image quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    iqu
    -0.79
    wine
    -0.73
    reon
    -0.71
    nels
    -0.71
    ynski
    -0.70
    alty
    -0.69
    idon
    -0.69
    orate
    -0.69
    stood
    -0.68
    imen
    -0.67
    POSITIVE LOGITS
    mAh
    1.30
    px
    1.17
    MHz
    1.13
     MHz
    1.12
     ILCS
    1.08
    nm
    0.92
    ÃĹ
    0.89
    mL
    0.87
    Hz
    0.86
     kcal
    0.86
    Activations Density 0.070%

    No Known Activations