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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. 2880
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    Explanations

    negative words related to criticism and debate

    oai_token-act-pair · gpt-3.5-turbo

    elements related to criticism or negativity towards societal behavior and attitudes

    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
     Georgian
    -0.78
     Diabetes
    -0.76
    leased
    -0.74
     Methodist
    -0.73
     Cree
    -0.72
    married
    -0.71
     Lithuan
    -0.71
    oday
    -0.69
    ornia
    -0.67
    Tonight
    -0.67
    POSITIVE LOGITS
     unpredict
    0.96
     invariably
    0.95
     equilibrium
    0.92
     unavoid
    0.92
    pmwiki
    0.92
     maxim
    0.91
     fallacy
    0.91
     implicit
    0.90
     entropy
    0.90
     tends
    0.89
    Activations Density 1.028%

    No Known Activations