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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. 6143
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    INDEX
    Explanations

    names of athletes and sports personnel

    oai_token-act-pair · gpt-3.5-turbo

    prominent athletes and their performances or statistics

    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
    CNN
    -0.85
    instein
    -0.81
    People
    -0.81
    FBI
    -0.80
     Watergate
    -0.79
     billions
    -0.77
    rational
    -0.76
    ureau
    -0.76
    ilogy
    -0.75
    infeld
    -0.74
    POSITIVE LOGITS
     newcomer
    1.33
     midfielder
    1.22
     sophomore
    1.15
     youngster
    1.13
     teammate
    1.11
     goalkeeper
    1.08
     winger
    1.08
     striker
    1.06
     duo
    1.06
     Frenchman
    1.06
    Activations Density 0.446%

    No Known Activations