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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. 16014
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    Explanations

    terms related to collision or coming together

    oai_token-act-pair · gpt-3.5-turbo

    references to data collection or aggregation

    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
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    qua
    -0.73
    DragonMagazine
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    ItemTracker
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    ARK
    -0.65
     Declaration
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    emonic
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    POSITIVE LOGITS
     coll
    1.01
    ibrary
    0.82
    alez
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    iseum
    0.80
    ocation
    0.77
    coll
    0.75
    halla
    0.75
    oqu
    0.74
    imation
    0.73
    imer
    0.72
    Activations Density 0.004%

    No Known Activations