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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. 5722
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    Explanations

    expressions related to energy and excitement

    oai_token-act-pair · gpt-3.5-turbo

    expressions of feelings or states of being related to positive emotions and experiences

    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
     ÂŃ
    -0.86
     policymakers
    -0.79
    vernment
    -0.78
    essim
    -0.75
    ropolitan
    -0.75
     claimants
    -0.75
     disclosures
    -0.72
    essment
    -0.72
     Islamist
    -0.71
    leaning
    -0.71
    POSITIVE LOGITS
     badass
    1.05
     adorable
    1.05
     EVERY
    1.01
    !!!
    0.98
     LOVE
    0.98
     awesome
    0.98
     hilarious
    0.97
     HUGE
    0.94
     amazing
    0.92
     legendary
    0.92
    Activations Density 1.345%

    No Known Activations