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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 14868
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    Explanations

    names of news outlets or media organizations

    oai_token-act-pair · gpt-3.5-turbo

    specific entity names or acronyms, particularly in a news context

    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
     FML
    -0.66
     pand
    -0.65
    tons
    -0.63
    generic
    -0.62
    mas
    -0.60
    orate
    -0.59
    iggurat
    -0.59
     stockpile
    -0.59
    wikipedia
    -0.58
     strengths
    -0.58
    POSITIVE LOGITS
     reporter
    1.26
     correspondent
    1.10
     reporters
    1.07
     Reporter
    1.06
     magazine
    1.04
     News
    1.03
     columnist
    1.03
     Magazine
    1.02
     Newsp
    0.94
     Radio
    0.94
    Activations Density 0.126%

    No Known Activations