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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. 10250
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and references to specific years or dates

    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
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    No Comments

    Negative Logits
     neighb
    -0.77
     derby
    -0.75
     swall
    -0.74
     dubbed
    -0.71
     edges
    -0.71
     redes
    -0.70
     relegation
    -0.70
     tram
    -0.68
     betting
    -0.68
     bundled
    -0.68
    POSITIVE LOGITS
    "âĢ¦
    1.75
    "[
    1.69
    "...
    1.67
    "'
    1.63
    Dear
    1.61
    Quote
    1.56
    "
    1.45
    "(
    1.42
    When
    1.39
    Hello
    1.38
    Activations Density 0.107%

    No Known Activations