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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. 22829
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    Explanations

    mentions of experts in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of experts in various contexts

    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
     Territories
    -0.80
    forth
    -0.68
    AAAA
    -0.66
     Winged
    -0.66
    à¥
    -0.62
     Agric
    -0.62
     Wonderland
    -0.61
    plet
    -0.61
     Horses
    -0.61
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.60
    POSITIVE LOGITS
    sonian
    1.04
     consulted
    0.92
    essor
    0.84
    agascar
    0.82
    cius
    0.81
    awaru
    0.81
    icion
    0.80
    linger
    0.80
    ocate
    0.80
     experts
    0.79
    Activations Density 0.016%

    No Known Activations