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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. 18551
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    Explanations

    personal belongings that have been misplaced or stolen

    oai_token-act-pair · gpt-3.5-turbo

    items associated with theft or reported stolen property

    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
    twitch
    -0.77
    zai
    -0.76
     wavelength
    -0.75
    thro
    -0.74
     adaptation
    -0.69
    adian
    -0.69
    onomous
    -0.69
     audiences
    -0.68
    Adapt
    -0.67
     announ
    -0.66
    POSITIVE LOGITS
     belongings
    1.52
     stash
    1.39
     luggage
    1.28
     looted
    1.26
     items
    1.25
     bags
    1.25
     crates
    1.23
     confiscated
    1.23
     treasures
    1.19
     suitcase
    1.19
    Activations Density 1.019%

    No Known Activations