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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. 3-RES-JB
    11. 8308
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    Explanations

    proper nouns of individuals with specific affiliations or job titles

    oai_token-act-pair · gpt-3.5-turbo

    names of notable individuals and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Samoa
    -0.94
     Staten
    -0.88
     Survivor
    -0.75
     Caribbean
    -0.75
     Tune
    -0.74
     Maryland
    -0.73
     Akron
    -0.72
     Columbia
    -0.71
     Hurricanes
    -0.71
     Brighton
    -0.70
    POSITIVE LOGITS
    oÄŁan
    1.78
     Erd
    1.21
    oÄŁ
    1.00
    mann
    0.90
    ophon
    0.90
    istani
    0.85
    omen
    0.84
    lein
    0.83
    oint
    0.82
    sten
    0.81
    Activations Density 0.004%

    No Known Activations