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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. 12517
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    INDEX
    Explanations

    names of people or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    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
     horm
    -0.82
     marg
    -0.82
    medi
    -0.80
     NXT
    -0.79
     brill
    -0.76
     paras
    -0.76
     dom
    -0.75
     Syri
    -0.74
     sor
    -0.74
     fascists
    -0.74
    POSITIVE LOGITS
     Cook
    1.52
    Cook
    1.48
    Bur
    1.29
     Burke
    1.26
     Hunt
    1.22
     Cutler
    1.21
    Hunt
    1.14
     Bur
    1.09
    Hun
    1.08
     Cove
    1.00
    Activations Density 0.379%

    No Known Activations