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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. 6-RES-JB
    11. 22005
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to errors or issues in systems or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rollers
    -0.74
    zin
    -0.68
    icrobial
    -0.65
    ographies
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     cloves
    -0.64
    ovy
    -0.63
     carrot
    -0.62
     adult
    -0.62
    emouth
    -0.61
     passionately
    -0.61
    POSITIVE LOGITS
    hooting
    0.85
    ulence
    0.77
     plag
    0.75
    WARE
    0.74
    manship
    0.70
     glitches
    0.68
     caused
    0.67
    nown
    0.66
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.66
    iah
    0.66
    Activations Density 0.161%

    No Known Activations