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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. 4-RES-JB
    11. 244
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    Explanations

    actions related to a sequence of events, potentially involving movement and interaction between individuals

    oai_token-act-pair · gpt-3.5-turbo

    actions and events related to law enforcement encounters

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

    No Comments

    Negative Logits
    omics
    -0.59
     Highlights
    -0.58
     HERE
    -0.56
     Historically
    -0.55
     âĢº
    -0.55
    stakes
    -0.54
    tains
    -0.53
     Podcast
    -0.52
    osponsors
    -0.52
    LGBT
    -0.52
    POSITIVE LOGITS
     morphine
    0.62
     ambul
    0.61
     cumbers
    0.60
     remission
    0.59
     incrim
    0.58
     Vaugh
    0.57
    idav
    0.57
     calmed
    0.57
     exha
    0.57
     makeshift
    0.56
    Activations Density 2.924%

    No Known Activations