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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. 10-RES-JB
    11. 10181
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    Explanations

    locations, specifically cities and neighborhoods

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically place names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     penet
    -0.67
    izen
    -0.66
     mete
    -0.63
    aper
    -0.62
    lator
    -0.61
    asel
    -0.61
    Reviewer
    -0.60
    inen
    -0.60
    avorite
    -0.59
     recip
    -0.59
    POSITIVE LOGITS
     City
    0.92
    burgh
    0.91
    ottesville
    0.87
    opolis
    0.85
     Park
    0.85
     Gardens
    0.82
     Harbor
    0.80
     Beach
    0.78
     Lumpur
    0.78
     Falls
    0.78
    Activations Density 0.100%

    No Known Activations