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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. 10-RES-JB
    11. 10499
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    Explanations

    words related to well-known individuals, particularly athletes

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and important entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Assembly
    -0.66
     glim
    -0.63
     legislatures
    -0.61
     Citiz
    -0.60
     Bahá
    -0.60
    library
    -0.60
    ories
    -0.60
     denomin
    -0.60
    cess
    -0.60
     Columb
    -0.59
    POSITIVE LOGITS
     Jr
    1.36
    's
    1.06
     Sr
    1.03
    Äĩ
    0.98
     III
    0.91
    mania
    0.87
     aka
    0.85
     himself
    0.81
    Jr
    0.80
    ®
    0.78
    Activations Density 0.263%

    No Known Activations