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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. 2-RES-JB
    6. 2029
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    Explanations

    items or actions related to refrigerators

    oai_token-act-pair · gpt-3.5-turbo

    references to refrigerators and their functions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gotten
    -0.77
    Priv
    -0.69
    leading
    -0.67
    kok
    -0.67
    venture
    -0.66
    plain
    -0.65
    doms
    -0.65
    casting
    -0.65
    published
    -0.64
    tale
    -0.64
    POSITIVE LOGITS
     refrigerator
    1.30
     fridge
    1.27
     freezer
    1.27
    riger
    1.10
     refriger
    1.05
     closet
    0.98
     cooker
    0.94
    idge
    0.94
     appliance
    0.93
     oven
    0.88
    Activations Density 0.007%

    No Known Activations