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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. 8-RES-JB
    11. 4114
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    Explanations

    phrases related to cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    cooking instructions or actions related to food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ippi
    -0.73
    bh
    -0.67
    href
    -0.67
    cci
    -0.66
    èĪ
    -0.64
    QL
    -0.63
    ;;;;;;;;;;;;
    -0.62
    AZ
    -0.61
    CVE
    -0.61
    083
    -0.61
    POSITIVE LOGITS
     freezer
    1.09
     blender
    1.06
     fridge
    0.98
     boiling
    0.94
     refrigerator
    0.94
     oven
    0.90
     containers
    0.87
     container
    0.85
     microwave
    0.84
     jars
    0.82
    Activations Density 0.193%

    No Known Activations