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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. 1-RES-JB
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    Explanations

    mentions of the location "Delhi"

    oai_token-act-pair · gpt-3.5-turbo

    multiple mentions of the city Delhi

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ovie
    -0.74
    xon
    -0.74
     Crus
    -0.71
    chell
    -0.68
    PsyNetMessage
    -0.68
    ippi
    -0.66
     Robertson
    -0.65
    henko
    -0.65
    cies
    -0.65
    }"
    -0.64
    POSITIVE LOGITS
     Delhi
    1.09
     Pradesh
    1.06
    jriwal
    0.93
     crore
    0.89
     Punjab
    0.86
     Lumpur
    0.81
     ki
    0.77
    India
    0.74
     Rs
    0.74
     Modi
    0.73
    Activations Density 0.008%

    No Known Activations