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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. 6-RES-JB
    6. 10243
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    INDEX
    Explanations

    words related to causation and outcome

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate consequences or effects

    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
    ĸļ
    -0.73
     Jur
    -0.66
     Bastard
    -0.62
     Kun
    -0.60
     Wend
    -0.60
     Pants
    -0.58
     Kush
    -0.58
    raint
    -0.57
     Sut
    -0.57
     Sabb
    -0.57
    POSITIVE LOGITS
    depending
    0.80
     depending
    0.78
     tricky
    0.72
    gettable
    0.72
     safely
    0.69
    odder
    0.68
    ESE
    0.68
     anywhere
    0.67
     easily
    0.64
    pole
    0.64
    Activations Density 0.300%

    No Known Activations