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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 16150
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    INDEX
    Explanations

    proper nouns of people or places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific people 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
    ĪĴ
    -1.12
    aido
    -0.85
    ogun
    -0.79
    abama
    -0.79
    ħĭ
    -0.77
    DCS
    -0.77
    Cub
    -0.74
    fb
    -0.73
    oÄŁ
    -0.72
    ¬¼
    -0.72
    POSITIVE LOGITS
     Le
    2.64
    Le
    2.39
     le
    2.12
     LE
    1.73
     Lep
    1.51
     Leh
    1.49
     Leopard
    1.49
    le
    1.42
     Lem
    1.38
     Leigh
    1.36
    Activations Density 0.217%

    No Known Activations