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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. 9-RES-JB
    11. 18560
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    Explanations

    mentions of geographical locations, specifically focusing on the Bay Area

    oai_token-act-pair · gpt-3.5-turbo

    references to the Bay Area

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.92
    IGHTS
    -0.83
    renheit
    -0.81
    ãĥł
    -0.81
    acles
    -0.76
    DK
    -0.75
    acl
    -0.74
    etsk
    -0.73
    ificial
    -0.73
    istration
    -0.73
    POSITIVE LOGITS
     Railroad
    0.98
     Edison
    0.93
     Regional
    0.91
     Rapid
    0.91
     Peninsula
    0.87
     Quart
    0.86
     Transit
    0.85
     landmarks
    0.85
     suburbs
    0.83
     Territories
    0.82
    Activations Density 0.141%

    No Known Activations