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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. 6840
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    Explanations

    names, specifically surnames, that appear at the beginning or in the middle of a word in a variety of contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names

    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
    Not in Any Lists

    No Comments

    Negative Logits
     powd
    -0.89
    WINDOWS
    -0.84
     NEC
    -0.81
    çĦ
    -0.79
     IX
    -0.79
     unnecess
    -0.78
     Sup
    -0.77
     Hawai
    -0.75
     Saras
    -0.74
     OCT
    -0.73
    POSITIVE LOGITS
    er
    1.77
    ER
    1.61
    erker
    1.39
    erk
    1.34
    zer
    1.32
    erd
    1.31
    erer
    1.30
    ers
    1.29
    ler
    1.28
    uer
    1.26
    Activations Density 0.236%

    No Known Activations