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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to the technology company "Huawei"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Huawei and related technology products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.88
    oppable
    -0.83
    ÑĮ
    -0.76
    thel
    -0.72
    olesterol
    -0.70
    race
    -0.70
    ieving
    -0.69
    psc
    -0.69
    nesota
    -0.68
    arbon
    -0.68
    POSITIVE LOGITS
    awei
    1.58
    conn
    0.91
     Kirin
    0.89
     Huawei
    0.86
     Qiao
    0.82
     Huang
    0.80
     Zhu
    0.76
     Technologies
    0.76
    fen
    0.76
     Jinping
    0.74
    Activations Density 0.003%

    No Known Activations