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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. 8-RES-JB
    11. 10633
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    Explanations

    phrases related to specialized equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lit
    -0.73
    ort
    -0.71
    lucent
    -0.71
    hua
    -0.69
    mary
    -0.69
    vill
    -0.69
    hyde
    -0.67
    ¥
    -0.67
    erest
    -0.65
     Kard
    -0.65
    POSITIVE LOGITS
     manufacturer
    1.01
     malf
    0.97
     manufacturers
    0.93
     malfunction
    0.92
     equipment
    0.88
     manuals
    0.81
     upgrades
    0.78
     specifications
    0.77
     manufactures
    0.77
     supplier
    0.77
    Activations Density 0.033%

    No Known Activations