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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. 15382
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    Explanations

    instances where large quantities are mentioned, particularly in the range of "tens of [units]"

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities expressed in "tens" or related numerical phrases

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Providence
    -0.72
     adv
    -0.67
     Keeper
    -0.65
     Spe
    -0.64
     Manifest
    -0.61
    HEAD
    -0.61
     Goldstein
    -0.61
     commentary
    -0.60
     Lover
    -0.59
     Venture
    -0.59
    POSITIVE LOGITS
    ourcing
    0.99
    earchers
    0.97
    ENN
    0.96
    restling
    0.88
    omet
    0.87
     tens
    0.86
    hovah
    0.86
    elfth
    0.86
    atility
    0.85
    undreds
    0.85
    Activations Density 0.003%

    No Known Activations