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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. 10-RES-JB
    11. 16239
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    Explanations

    statements with a sarcastic or critical tone

    oai_token-act-pair · gpt-3.5-turbo

    content focused on headlines or titles, particularly related to articles and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     equivalents
    -0.64
     denomin
    -0.63
     grouped
    -0.63
     compar
    -0.62
     listed
    -0.61
     branches
    -0.60
     muster
    -0.60
     administr
    -0.59
     predec
    -0.59
     downstream
    -0.59
    POSITIVE LOGITS
    TRUMP
    0.90
    Hillary
    0.87
    Bernie
    0.80
    ISIS
    0.79
     Trayvon
    0.78
    Bitcoin
    0.77
     Houth
    0.77
    Israeli
    0.75
     Hillary
    0.75
    bitcoin
    0.75
    Activations Density 0.617%

    No Known Activations