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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. 6-RES-JB
    11. 7889
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    Explanations

    locations, particularly Mumbai

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Mumbai and its surrounding regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uador
    -0.84
    cellent
    -0.82
    ibility
    -0.80
    isner
    -0.75
    mble
    -0.73
    tnc
    -0.73
    clip
    -0.73
    vor
    -0.72
    itive
    -0.72
    imus
    -0.71
    POSITIVE LOGITS
     Lumpur
    0.96
    umbai
    0.94
     Mumbai
    0.81
     Express
    0.79
     Shiv
    0.78
     Metropolitan
    0.72
     Airways
    0.71
    anus
    0.71
     Orchestra
    0.71
     Indians
    0.70
    Activations Density 0.009%

    No Known Activations