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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. 8330
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    Explanations

    phrases related to the concept of pandering

    oai_token-act-pair · gpt-3.5-turbo

    references to pandas or related terminology

    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
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    Negative Logits
     Skydragon
    -0.66
     Eisen
    -0.64
    LECT
    -0.62
    terday
    -0.62
    FUL
    -0.60
    fully
    -0.59
    creen
    -0.59
     Lauder
    -0.58
     actionGroup
    -0.58
    ALD
    -0.57
    POSITIVE LOGITS
    emonium
    1.65
    emic
    1.47
    erers
    1.08
    elines
    0.96
    ering
    0.95
    erer
    0.94
    emonic
    0.93
    aren
    0.92
    eline
    0.92
    oor
    0.91
    Activations Density 0.066%

    No Known Activations