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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. 4-RES-JB
    11. 9717
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and measurements, particularly in a scientific or statistical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    querque
    -0.79
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    gha
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    loo
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    Ļ½
    -0.70
    ãĤ©
    -0.70
     Shogun
    -0.69
    Wan
    -0.67
    ãĥ£
    -0.65
     Cosponsors
    -0.64
    POSITIVE LOGITS
    ruary
    0.94
    000
    0.86
    ollar
    0.76
    ish
    0.76
    STE
    0.71
    00
    0.70
    annabin
    0.70
    ingers
    0.68
    erences
    0.66
    iencies
    0.65
    Activations Density 0.356%

    No Known Activations