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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. 8-RES-JB
    11. 11162
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    Explanations

    numeric data formats

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or monetary amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    uran
    -0.86
    ande
    -0.80
    laws
    -0.77
    rican
    -0.77
    ogie
    -0.74
    antine
    -0.73
    owa
    -0.72
    anny
    -0.71
     Garfield
    -0.70
    law
    -0.69
    POSITIVE LOGITS
    0
    1.63
     0
    1.40
    º
    0.89
    00
    0.86
    020
    0.80
    040
    0.78
    ###
    0.77
    070
    0.77
    isSpecialOrderable
    0.77
     0004
    0.75
    Activations Density 0.100%

    No Known Activations