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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. 5981
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    Explanations

    mentions of specific names or identifiers such as "@TolarianCollege", "@DamionLindelof", or specific dates like "January 18, 2017"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names associated with individuals or entities

    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
     Frey
    -0.79
    ĭ
    -0.76
     Zhou
    -0.75
     Trib
    -0.74
     Rapp
    -0.73
    Score
    -0.72
     Tsukuyomi
    -0.71
     Sean
    -0.71
     Spectre
    -0.71
    043
    -0.70
    POSITIVE LOGITS
    ol
    1.76
    OL
    1.51
    ols
    1.46
    bol
    1.29
    olas
    1.23
    el
    1.21
    olin
    1.19
    ola
    1.18
     Kol
    1.18
    olia
    1.18
    Activations Density 0.304%

    No Known Activations