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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. 11-RES-JB
    11. 17564
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    Explanations

    numerical values related to quantity or measurement, especially focusing on higher values or ranges

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to statistics and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    forth
    -0.55
    apego
    -0.54
    soever
    -0.52
     Painter
    -0.49
    iola
    -0.48
     Uncle
    -0.48
    ourge
    -0.48
     Guy
    -0.47
     ironically
    -0.46
     behold
    -0.46
    POSITIVE LOGITS
    fps
    0.99
    Mbps
    0.98
     stitches
    0.83
    mph
    0.82
     kWh
    0.82
     calories
    0.81
     watts
    0.81
     sts
    0.81
     votes
    0.80
     Mbps
    0.80
    Activations Density 0.222%

    No Known Activations