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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. 11-RES-JB
    6. 3955
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    INDEX
    Explanations

    phrases related to cause and effect

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing physical mechanisms or interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enty
    -0.63
    Across
    -0.62
     Including
    -0.60
    Hundreds
    -0.59
    among
    -0.58
     millionaires
    -0.58
     famously
    -0.58
    dozen
    -0.57
    retty
    -0.57
    Numbers
    -0.56
    POSITIVE LOGITS
     your
    0.92
     SCP
    0.91
     oneself
    0.84
     plaintiff
    0.75
     you
    0.73
     defendant
    0.71
     sender
    0.70
     wearer
    0.70
     purchaser
    0.70
     Plaintiff
    0.70
    Activations Density 0.538%

    No Known Activations