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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. 9-RES-JB
    11. 16290
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    Explanations

    references to entities or people's names containing "Hay" and related forms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Hay" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urally
    -0.78
    wcs
    -0.77
    $$$$
    -0.72
     Mayhem
    -0.67
    ortium
    -0.67
     restroom
    -0.66
     mund
    -0.64
    andestine
    -0.64
     exerc
    -0.63
    inyl
    -0.61
    POSITIVE LOGITS
    stack
    1.13
    wire
    1.12
    nes
    1.04
    ashi
    1.02
    dn
    0.99
    den
    0.98
    leigh
    0.96
    ako
    0.95
    ek
    0.94
    abus
    0.85
    Activations Density 0.037%

    No Known Activations