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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. 5912
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    Explanations

    decimal numbers with alternating digits

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and statistics within the text

    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
    linger
    -0.73
    ylum
    -0.69
    raltar
    -0.63
    ushima
    -0.63
    umbn
    -0.61
    isition
    -0.60
    omnia
    -0.60
    Haunted
    -0.59
    bing
    -0.58
    rament
    -0.57
    POSITIVE LOGITS
     ERA
    1.01
     lakh
    0.94
    GHz
    0.92
     crore
    0.88
     trillion
    0.86
    625
    0.83
     GHz
    0.83
    375
    0.80
     billion
    0.80
    3333
    0.80
    Activations Density 0.066%

    No Known Activations