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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. 9213
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    Explanations

    proper nouns, particularly names of individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of names or entities associated with specific individuals or organizations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    orkshire
    -0.87
    aleigh
    -0.77
    ebted
    -0.77
    iscal
    -0.75
    enegger
    -0.74
    Lewis
    -0.74
    pins
    -0.74
     Wilmington
    -0.74
     Bundes
    -0.73
    anke
    -0.72
    POSITIVE LOGITS
     Av
    2.25
    Av
    1.96
    av
    1.87
     AV
    1.79
     Lav
    1.77
    AV
    1.72
     av
    1.66
     Sav
    1.60
     Ev
    1.58
    Ev
    1.46
    Activations Density 0.266%

    No Known Activations