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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. 7-RES-JB
    11. 11252
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    Explanations

    proper nouns related to geographical locations, particularly cities

    oai_token-act-pair · gpt-3.5-turbo

    geographic locations, particularly cities and regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    VALUE
    -0.71
    vana
    -0.70
    thood
    -0.68
    ONY
    -0.67
    IPS
    -0.66
    rieve
    -0.65
    IRD
    -0.65
     barrel
    -0.63
    aved
    -0.61
     welf
    -0.61
    POSITIVE LOGITS
     Lumpur
    0.99
     City
    0.96
     Airport
    0.92
     Pradesh
    0.87
     Zoo
    0.86
    upid
    0.85
    shire
    0.84
     Heights
    0.84
     skyline
    0.83
     Municipal
    0.83
    Activations Density 0.125%

    No Known Activations