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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. 1-RES-JB
    11. 22879
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    Explanations

    names related to different people or entities (e.g., "Rey," "Poe," "Kyl," "Ryder")

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals and titles related to specific works or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocrats
    -0.71
    utory
    -0.71
    OGR
    -0.68
    Topics
    -0.68
    otaur
    -0.66
     CPC
    -0.65
     Courier
    -0.62
    orative
    -0.61
    ebus
    -0.61
    Correct
    -0.61
    POSITIVE LOGITS
     Rey
    1.30
    kj
    1.05
     Myster
    0.99
    zin
    0.85
     Lauder
    0.79
     Vader
    0.78
     Skywalker
    0.75
    vana
    0.74
    ldom
    0.73
    velt
    0.72
    Activations Density 0.006%

    No Known Activations