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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. 9-RES-JB
    11. 19856
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    Explanations

    phrases related to shopping or store activities

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of shops

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ioxide
    -0.64
    etus
    -0.63
     unborn
    -0.61
     IPCC
    -0.60
     Species
    -0.59
     toxicity
    -0.58
     Governments
    -0.58
     Couch
    -0.58
     Kissinger
    -0.58
     mating
    -0.57
    POSITIVE LOGITS
    keeper
    1.49
    keepers
    1.39
    lifting
    1.25
    worn
    1.08
    shop
    1.04
    keep
    1.01
    kie
    0.95
    floor
    0.95
    front
    0.95
    lift
    0.94
    Activations Density 0.038%

    No Known Activations