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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. 12192
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    Explanations

    references to the technology company "Huawei"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Huawei brand

    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
    Not in Any Lists

    No Comments

    Negative Logits
    istically
    -0.88
    nesota
    -0.83
    ovember
    -0.80
    oyd
    -0.79
    osity
    -0.77
    yss
    -0.75
    ghai
    -0.75
    eteen
    -0.73
    ower
    -0.71
    ership
    -0.71
    POSITIVE LOGITS
    awei
    0.90
    ierrez
    0.70
     Rossi
    0.69
    course
    0.66
     Sisters
    0.65
     Uz
    0.62
     Ces
    0.62
     Akin
    0.61
    ÃįÃį
    0.61
    esome
    0.60
    Activations Density 0.075%

    No Known Activations