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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 11584
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    Explanations

    negative descriptions or criticism related to gaming experiences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to criticism of gameplay mechanics in video games

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Paran
    -0.81
    ĸļ
    -0.79
     Conclusion
    -0.74
     Confeder
    -0.71
     tremend
    -0.68
     Leilan
    -0.67
     Skydragon
    -0.63
    è¦ļéĨĴ
    -0.62
    ©¶æ¥µ
    -0.62
     brill
    -0.61
    POSITIVE LOGITS
    Õ
    0.60
    area
    0.59
     secretly
    0.57
    à¨
    0.57
    <?
    0.55
     &&
    0.55
     sd
    0.54
    ĵĺ
    0.53
    plet
    0.53
     ft
    0.53
    Activations Density 0.195%

    No Known Activations