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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. 10-RES-JB
    11. 5786
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    Explanations

    words related to various types of equipment

    oai_token-act-pair · gpt-3.5-turbo

    keywords related 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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pling
    -0.74
    heit
    -0.74
    DAY
    -0.72
    lucent
    -0.70
     Kard
    -0.69
    lit
    -0.68
    mary
    -0.68
    athan
    -0.68
    ween
    -0.68
    rill
    -0.67
    POSITIVE LOGITS
     manufacturer
    1.13
     manufacturers
    1.11
     malf
    0.95
     malfunction
    0.94
     rentals
    0.94
     manuals
    0.93
     rental
    0.89
     manufactures
    0.89
     equipment
    0.87
     purchases
    0.87
    Activations Density 0.074%

    No Known Activations