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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. 4-RES-JB
    11. 24237
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    Explanations

    phrases related to groupings or collections of people or items

    oai_token-act-pair · gpt-3.5-turbo

    references to customer or talent pools and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    DonaldTrump
    -0.77
    rians
    -0.72
    rian
    -0.65
    orial
    -0.65
    NESS
    -0.65
    ihad
    -0.63
    âĹ¼
    -0.62
     pronounce
    -0.61
     Cel
    -0.60
    _-
    -0.59
    POSITIVE LOGITS
     pool
    1.15
    pool
    1.07
     Pool
    1.00
     pools
    0.99
    esville
    0.95
    regate
    0.88
    eries
    0.88
    folio
    0.85
    side
    0.81
    Pool
    0.79
    Activations Density 0.009%

    No Known Activations