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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. 411
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    Explanations

    places or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city Ahmedabad

    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
    zanne
    -0.74
    uper
    -0.72
    ascript
    -0.72
    lihood
    -0.71
     Lauder
    -0.67
     Ago
    -0.66
     Somers
    -0.64
     Sail
    -0.64
    ROM
    -0.63
    plays
    -0.62
    POSITIVE LOGITS
    abad
    1.04
    ellery
    0.87
    pour
    0.76
    rador
    0.74
    rams
    0.73
    yrinth
    0.73
    adesh
    0.71
    umbai
    0.70
     courier
    0.66
    elled
    0.66
    Activations Density 0.026%

    No Known Activations