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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. 19384
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    Explanations

    names of places or cities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of places and people

    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
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    No Comments

    Negative Logits
     negotiator
    -0.64
     ÏĦ
    -0.62
     bearer
    -0.62
     laureate
    -0.61
     acron
    -0.61
     Kislyak
    -0.60
     bounces
    -0.60
     Hubble
    -0.60
     Canaver
    -0.60
     translator
    -0.59
    POSITIVE LOGITS
    burgh
    0.95
    mere
    0.88
    shire
    0.84
     Township
    0.84
    aston
    0.84
    atche
    0.83
    boro
    0.83
    emouth
    0.83
    stown
    0.83
    isco
    0.81
    Activations Density 0.215%

    No Known Activations