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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. 7-RES-JB
    11. 7363
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    Explanations

    references to a specific brand - Huawei

    oai_token-act-pair · gpt-3.5-turbo

    references to the company Huawei and its products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesota
    -0.80
    busters
    -0.68
     Beware
    -0.66
    liest
    -0.65
    orate
    -0.64
    afort
    -0.63
     metic
    -0.63
    emouth
    -0.62
    omy
    -0.60
    ures
    -0.60
    POSITIVE LOGITS
    awei
    0.80
    pine
    0.77
    vision
    0.75
    WAY
    0.75
    FFFF
    0.74
    jamin
    0.74
    atche
    0.73
    witz
    0.72
    ÃĽ
    0.72
    enic
    0.71
    Activations Density 0.078%

    No Known Activations