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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. 15409
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    Explanations

    phrases related to conflict or confrontation

    oai_token-act-pair · gpt-3.5-turbo

    commands and actions related to urgency or danger

    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
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    No Comments

    Negative Logits
    etheless
    -0.87
    xtap
    -0.81
     resil
    -0.72
    prisingly
    -0.71
    eatures
    -0.70
     obser
    -0.66
    ModLoader
    -0.66
    ibaba
    -0.65
    ailability
    -0.65
    aples
    -0.64
    POSITIVE LOGITS
    !"
    1.71
    !'"
    1.63
    !".
    1.63
    !",
    1.62
    !'
    1.52
    '"
    1.46
     ..."
    1.45
     â̦"
    1.45
    ,'"
    1.45
    !!"
    1.44
    Activations Density 0.378%

    No Known Activations