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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. 8-RES-JB
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    Explanations

    keywords related to the city of Delhi

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Delhi and its political context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Staten
    -0.81
    ylum
    -0.81
    cies
    -0.80
    hement
    -0.79
    vere
    -0.78
     therapists
    -0.76
    gey
    -0.76
     Gott
    -0.74
    gotten
    -0.72
     Luthor
    -0.70
    POSITIVE LOGITS
     Pradesh
    1.52
     Punjab
    1.00
    jriwal
    0.96
     crore
    0.88
    umbai
    0.83
     Railway
    0.79
     Sharma
    0.79
     Nadu
    0.76
     Gandhi
    0.76
     Singh
    0.76
    Activations Density 0.061%

    No Known Activations