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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. 6-RES-JB
    11. 24332
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    Explanations

    references to individuals involved in negative actions or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing the word "who" or "that," indicating references to individuals in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Gender
    -0.68
    Zip
    -0.66
     Hok
    -0.66
     Evening
    -0.64
     Unlimited
    -0.64
    gif
    -0.62
     Riding
    -0.62
    Behind
    -0.62
     Guys
    -0.61
    land
    -0.61
    POSITIVE LOGITS
    soever
    0.97
    ļéĨĴ
    0.84
     currently
    0.84
     inhabit
    0.81
     oversaw
    0.79
     pesky
    0.78
     resulted
    0.77
     comprise
    0.76
     plagued
    0.75
     interfered
    0.74
    Activations Density 0.348%

    No Known Activations