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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. 1-RES-JB
    11. 5433
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    INDEX
    Explanations

    concepts related to production or manufacturing

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "producing."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nee
    -0.73
    bole
    -0.71
    cas
    -0.71
    udeb
    -0.70
    ser
    -0.66
    mere
    -0.66
    Priv
    -0.65
    jud
    -0.64
    mes
    -0.63
    laus
    -0.63
    POSITIVE LOGITS
     producing
    0.88
     outputs
    0.84
     produces
    0.83
    rious
    0.80
    Output
    0.80
     output
    0.79
    ivity
    0.79
    iets
    0.78
    ivist
    0.77
    utical
    0.77
    Activations Density 0.010%

    No Known Activations