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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. 11-RES-JB
    11. 12185
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    INDEX
    Explanations

    activities or tasks involving physical actions

    oai_token-act-pair · gpt-3.5-turbo

    gerunds or actions related to various tasks or labor activities

    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
    etheless
    -0.76
    shown
    -0.75
    cial
    -0.74
    âĹ¼
    -0.73
    Format
    -0.72
    igmat
    -0.72
    ItemThumbnailImage
    -0.71
    Depth
    -0.70
    Specific
    -0.69
    format
    -0.69
    POSITIVE LOGITS
     vegetables
    1.31
     tomatoes
    1.25
     baskets
    1.24
     berries
    1.19
     flowers
    1.18
     groceries
    1.17
     potatoes
    1.17
     oranges
    1.16
     onions
    1.16
     cans
    1.14
    Activations Density 0.255%

    No Known Activations