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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. 9-RES-JB
    11. 2458
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    Explanations

    references to equipment or tools

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lucent
    -0.76
    DAY
    -0.72
    hua
    -0.70
    erest
    -0.69
     Kard
    -0.69
    heit
    -0.68
    soType
    -0.68
    lit
    -0.67
    nee
    -0.66
    20439
    -0.64
    POSITIVE LOGITS
     manufacturer
    1.09
     manufacturers
    0.99
     malf
    0.89
     equipment
    0.86
     supplier
    0.86
     rentals
    0.84
     malfunction
    0.84
     rental
    0.84
     manuals
    0.83
     confiscated
    0.77
    Activations Density 0.034%

    No Known Activations