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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. 2-RES-JB
    11. 20686
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    Explanations

    acronyms related to national sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to the U.S. national team in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hold
    -0.83
    inventoryQuantity
    -0.82
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    ãĥ£
    -0.73
    ãĤ¨ãĥ«
    -0.70
    ãĤ·ãĥ£
    -0.67
    =-=-=-=-=-=-=-=-
    -0.67
    à©
    -0.66
    ãĤ¼
    -0.65
    POSITIVE LOGITS
    ypes
    1.06
    NT
    0.96
    uesday
    0.85
    LM
    0.82
    ega
    0.80
    ropy
    0.77
    aylor
    0.77
    guyen
    0.76
    ZI
    0.76
    psey
    0.76
    Activations Density 0.010%

    No Known Activations