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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. 348
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    Explanations

    words related to packaging of products

    oai_token-act-pair · gpt-3.5-turbo

    references to packaging in various contexts

    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
    shire
    -1.00
    inite
    -0.83
    nesota
    -0.79
    uable
    -0.75
    bia
    -0.74
    iscopal
    -0.72
    pard
    -0.71
    otos
    -0.70
    ollower
    -0.66
     Metatron
    -0.65
    POSITIVE LOGITS
     packaging
    0.96
    eers
    0.80
     crates
    0.77
     goods
    0.74
     containers
    0.74
     materials
    0.74
    aging
    0.71
     wrap
    0.70
     shelves
    0.69
     inserts
    0.67
    Activations Density 0.038%

    No Known Activations