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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 7251
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    Explanations

    phrases related to refrigeration or storing food in a cold environment

    oai_token-act-pair · gpt-3.5-turbo

    references to refrigeration and cold storage

    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
    tale
    -0.77
    kok
    -0.76
    uro
    -0.75
    urai
    -0.74
    venture
    -0.71
    quer
    -0.70
    lez
    -0.68
    gotten
    -0.68
    Es
    -0.67
    xy
    -0.66
    POSITIVE LOGITS
     freezer
    1.15
     refrigerator
    1.14
     refriger
    1.10
     fridge
    1.06
    riger
    1.06
     shelves
    0.95
    idges
    0.89
    idge
    0.88
     shelf
    0.87
     appliance
    0.85
    Activations Density 0.020%

    No Known Activations