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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. 7-RES-JB
    11. 8544
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    Explanations

    references to the Pentagon

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Pentagon

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĸ¬âĸ¬
    -0.72
    gger
    -0.72
    à
    -0.71
    Interstitial
    -0.68
    PER
    -0.67
    Austral
    -0.66
    Redd
    -0.66
    BOOK
    -0.65
    bars
    -0.65
    âĸ¬
    -0.65
    POSITIVE LOGITS
     Papers
    1.15
    arium
    0.80
     annex
    0.78
     Pentagon
    0.78
    adden
    0.75
     Plaza
    0.74
     contractors
    0.73
     SEAL
    0.72
    ukong
    0.71
     Office
    0.69
    Activations Density 0.020%

    No Known Activations