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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. 13946
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    Explanations

    adjectives describing quality or condition

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors that convey varying degrees of quality and sentiment

    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
     Barrett
    -0.57
     ÂŃ
    -0.50
    elfth
    -0.50
     allotted
    -0.49
     Hale
    -0.48
    otos
    -0.47
    adier
    -0.47
    Ó
    -0.47
    aying
    -0.47
     corresponding
    -0.46
    POSITIVE LOGITS
    !!!!
    0.57
     subreddits
    0.57
    adoes
    0.56
     english
    0.56
     beginnings
    0.55
     fallacy
    0.55
     pics
    0.54
     pleasures
    0.53
     pussy
    0.53
     irony
    0.52
    Activations Density 0.269%

    No Known Activations