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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. 11-RES-JB
    11. 12115
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    Explanations

    names of people, specifically "Laura"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Laura" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    nings
    -0.77
    cffff
    -0.67
    fleet
    -0.67
    ons
    -0.62
    race
    -0.62
    rated
    -0.62
    eers
    -0.62
    nir
    -0.61
    dict
    -0.61
    nown
    -0.60
    POSITIVE LOGITS
     Jane
    1.05
     Loren
    0.98
     Ing
    0.97
     Palmer
    0.89
     Bates
    0.88
     Ku
    0.86
    Jane
    0.86
    anne
    0.86
     Vo
    0.84
     Bloom
    0.83
    Activations Density 0.035%

    No Known Activations