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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. 23721
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    Explanations

    equipment-related words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to equipment

    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
    bitious
    -0.75
    hyde
    -0.73
    ectar
    -0.72
    lit
    -0.72
    mary
    -0.71
    heit
    -0.70
    20439
    -0.70
    noon
    -0.70
    ¥
    -0.69
    uel
    -0.68
    POSITIVE LOGITS
     equipment
    0.96
     manufacturer
    0.93
     malf
    0.92
     malfunction
    0.85
     manufacturers
    0.84
     Equipment
    0.77
    paio
    0.77
     equip
    0.72
     confiscated
    0.72
     strapped
    0.72
    Activations Density 0.018%

    No Known Activations