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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. 3-RES-JB
    11. 24139
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    Explanations

    mentions of specific locations, particularly cities and neighborhoods

    oai_token-act-pair · gpt-3.5-turbo

    place names and geographic 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
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    Negative Logits
    interstitial
    -0.81
    EngineDebug
    -0.77
    arson
    -0.72
    anmar
    -0.72
    sing
    -0.70
    nd
    -0.69
    ORGE
    -0.68
    ensen
    -0.67
    aird
    -0.66
    redd
    -0.66
    POSITIVE LOGITS
    auga
    1.02
    ignt
    0.79
    uracy
    0.77
    acular
    0.77
    ome
    0.77
    Ĥª
    0.76
    ewitness
    0.75
    insula
    0.74
     Mississ
    0.73
    ãĥīãĥ©
    0.72
    Activations Density 0.016%

    No Known Activations