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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. 11-RES-JB
    11. 4885
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    Explanations

    phrases describing something as new or fresh with a historical background

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing novelty and creativity alongside historical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     worthless
    -0.75
    ulia
    -0.75
     shortages
    -0.73
     Ples
    -0.72
     idiots
    -0.69
    à¼
    -0.68
    errors
    -0.67
     Suppose
    -0.66
     incompetence
    -0.65
    sites
    -0.65
    POSITIVE LOGITS
     futuristic
    1.14
     contemporary
    1.11
     cohesive
    1.08
     homage
    1.08
     timeless
    1.05
     realism
    1.05
     aest
    1.02
     styl
    1.01
     aesthetic
    1.00
     simplicity
    0.99
    Activations Density 0.546%

    No Known Activations