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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. 4-RES-JB
    11. 6606
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    Explanations

    mentions of specific geographical locations, specifically downtown areas

    oai_token-act-pair · gpt-3.5-turbo

    references to urban areas, specifically downtown locations

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

    No Comments

    Negative Logits
    gger
    -0.87
    ktop
    -0.86
    BuyableInstoreAndOnline
    -0.78
    catentry
    -0.75
    atorial
    -0.75
    uid
    -0.74
    nir
    -0.72
    uth
    -0.72
    Cert
    -0.71
    wcsstore
    -0.70
    POSITIVE LOGITS
     skyline
    0.94
     downtown
    0.91
     redevelopment
    0.90
     plaza
    0.87
     skysc
    0.83
     district
    0.83
     mall
    0.82
     waterfront
    0.81
     airport
    0.79
    owntown
    0.78
    Activations Density 0.018%

    No Known Activations