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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. 0-RES-JB
    11. 17997
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    Explanations

    words related to equipment or tools

    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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pring
    -0.70
    weet
    -0.69
    Rom
    -0.67
    ç
    -0.66
    uate
    -0.66
    femin
    -0.65
     Views
    -0.65
    anu
    -0.65
    pop
    -0.64
    oi
    -0.64
    POSITIVE LOGITS
     equipment
    3.57
     Equipment
    2.79
     gear
    2.17
    ipment
    2.04
     machinery
    1.74
     weaponry
    1.64
     hardware
    1.63
     equip
    1.62
     apparatus
    1.55
     appliances
    1.45
    Activations Density 0.021%

    No Known Activations