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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to the city of Mumbai

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Mumbai and related geographical locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isner
    -0.81
    vor
    -0.77
    minist
    -0.75
    book
    -0.71
    des
    -0.71
    uador
    -0.70
    rights
    -0.70
    pir
    -0.69
    lev
    -0.69
    secut
    -0.69
    POSITIVE LOGITS
     Lumpur
    1.13
    umbai
    0.92
     Mumbai
    0.88
     mosqu
    0.81
     Express
    0.79
     Indians
    0.77
     Maharashtra
    0.77
     Fashion
    0.76
     Township
    0.75
     Brah
    0.74
    Activations Density 0.005%

    No Known Activations