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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. 17999
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    Explanations

    instances where someone uses something or someone for a specific purpose

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "use" and its variations, indicating discussions of utilization or application

    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
    llah
    -0.71
     Ascend
    -0.66
    ï¸ı
    -0.66
     4090
    -0.66
    mand
    -0.64
    mo
    -0.61
    antle
    -0.60
    ignt
    -0.60
    progress
    -0.58
     issu
    -0.57
    POSITIVE LOGITS
    fully
    1.05
    FUL
    0.93
     condoms
    0.86
    illin
    0.85
     sparing
    0.82
     phrases
    0.79
    fulness
    0.76
     leverage
    0.75
    ãĥ¼ãĥĨãĤ£
    0.75
     tricks
    0.74
    Activations Density 0.119%

    No Known Activations