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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. 17905
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    Explanations

    locations or cities

    oai_token-act-pair · gpt-3.5-turbo

    geographical locations, particularly cities

    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
    oin
    -0.78
    redo
    -0.77
    lease
    -0.69
    potion
    -0.68
     trooper
    -0.68
    Leod
    -0.68
    ortium
    -0.67
    vana
    -0.67
    venge
    -0.66
    rons
    -0.65
    POSITIVE LOGITS
     Municip
    1.07
     Metropolitan
    1.02
     suburb
    1.00
     Airport
    0.99
     Hilton
    0.97
     airport
    0.96
     Zoo
    0.95
     metropolitan
    0.93
     skyline
    0.92
     city
    0.92
    Activations Density 0.105%

    No Known Activations