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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. 21995
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    Explanations

    phrases related to searching or querying information

    oai_token-act-pair · gpt-3.5-turbo

    references to database queries

    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
    ŀ
    -0.73
    trump
    -0.71
    ľ
    -0.69
    ĺ
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    ½
    -0.67
    cling
    -0.66
    AFTA
    -0.65
    ï¸
    -0.65
    quarters
    -0.65
    Ĥ¬
    -0.65
    POSITIVE LOGITS
     queries
    1.21
     query
    1.09
    query
    0.91
    Query
    0.91
     Query
    0.85
     quer
    0.83
    naires
    0.82
    iries
    0.82
    naire
    0.75
     probing
    0.73
    Activations Density 0.015%

    No Known Activations