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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. 0-RES-JB
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    Explanations

    the word "Rio"

    oai_token-act-pair · gpt-3.5-turbo

    references to the location Rio de Janeiro

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Plugin
    -0.76
     creep
    -0.74
    oths
    -0.73
     plugin
    -0.72
     yeast
    -0.70
    Typ
    -0.68
     Phant
    -0.66
     plugins
    -0.66
    hemy
    -0.65
    plugin
    -0.64
    POSITIVE LOGITS
     Rio
    4.08
     Sao
    1.66
    Brazil
    1.62
     Brazil
    1.62
     Brazilian
    1.45
     Sochi
    1.43
     Lisbon
    1.33
     Guan
    1.32
     Janeiro
    1.30
     Buenos
    1.30
    Activations Density 0.022%

    No Known Activations