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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. 8914
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    Explanations

    names preceded by the title "Sir"

    oai_token-act-pair · gpt-3.5-turbo

    names of titled individuals

    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
    erest
    -0.78
    zona
    -0.75
     CTR
    -0.70
    grounds
    -0.64
     juices
    -0.60
     Palest
    -0.60
     minors
    -0.60
    mental
    -0.58
    oral
    -0.56
     Democr
    -0.56
    POSITIVE LOGITS
     Conan
    0.80
     Fury
    0.71
     Keane
    0.67
     Cooke
    0.67
     Leigh
    0.65
     Canterbury
    0.64
     Browne
    0.63
     Hoo
    0.63
     Lonely
    0.62
     Yor
    0.61
    Activations Density 0.105%

    No Known Activations