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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. 11-RES-JB
    11. 5339
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    Explanations

    phrases related to effort or investment

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating effort or quantity of resources expended

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eming
    -0.89
    xton
    -0.73
    adjusted
    -0.68
    Aren
    -0.63
    lus
    -0.62
     [];
    -0.61
    Uncommon
    -0.59
     Digest
    -0.59
    acc
    -0.58
     Passage
    -0.58
    POSITIVE LOGITS
     brakes
    1.27
     emphasis
    1.25
     blame
    1.06
     pressure
    0.99
     stamp
    0.98
     strain
    0.95
     finishing
    0.93
     burden
    0.93
     bets
    0.89
     spotlight
    0.89
    Activations Density 0.082%

    No Known Activations