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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. 9-RES-JB
    6. 528
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    Explanations

    phrases related to controversy or conflict

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating moral dilemmas or ethical conflicts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahu
    -0.74
    utral
    -0.67
     Mechdragon
    -0.66
    iple
    -0.63
    USS
    -0.61
    Js
    -0.58
    é¾
    -0.58
    Wire
    -0.57
    ¬¼
    -0.57
     corrid
    -0.57
    POSITIVE LOGITS
     namely
    1.22
     albeit
    1.08
     despite
    0.94
     viz
    0.93
     nor
    0.92
     especially
    0.91
     irrespective
    0.91
     regardless
    0.90
     lest
    0.90
    especially
    0.88
    Activations Density 0.386%

    No Known Activations