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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. 11346
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    Explanations

    Filipino language phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to cultural or regional identity, specifically in the context of Filipino culture

    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
    French
    -0.73
    ologne
    -0.69
    efficients
    -0.68
     Cologne
    -0.68
    furt
    -0.68
    Brazil
    -0.67
    CONCLUS
    -0.66
    France
    -0.66
    RIC
    -0.65
    Mac
    -0.64
    POSITIVE LOGITS
     mah
    0.96
    vati
    0.93
     Hindi
    0.93
    ahi
    0.92
     ka
    0.92
     ki
    0.92
     ko
    0.92
     sab
    0.90
    yan
    0.90
     kay
    0.89
    Activations Density 0.107%

    No Known Activations