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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. 7-RES-JB
    6. 10654
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    Explanations

    phrases related to health and medical advice

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant experiences and emotional impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Malays
    -0.71
    Scroll
    -0.68
     Spice
    -0.65
     Patt
    -0.64
     Malaysia
    -0.63
     Bian
    -0.62
     McKenna
    -0.61
     paperback
    -0.61
     Mia
    -0.61
     Hogwarts
    -0.60
    POSITIVE LOGITS
     incent
    0.81
    amount
    0.79
    entimes
    0.77
     behavi
    0.75
     respectively
    0.74
    SourceFile
    0.71
     tremend
    0.69
    aldi
    0.69
     streng
    0.68
    ç¥ŀ
    0.66
    Activations Density 0.579%

    No Known Activations