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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. 10-RES-JB
    11. 3100
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    Explanations

    phrases related to bids and bidding processes

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to bidding processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Galile
    -0.69
     ILCS
    -0.68
     Micha
    -0.65
     Manson
    -0.65
    å°Ĩ
    -0.62
    icka
    -0.59
     Metatron
    -0.58
    loo
    -0.58
    arily
    -0.58
     Blend
    -0.58
    POSITIVE LOGITS
    irection
    1.37
     bidder
    0.92
     farewell
    0.92
    eters
    0.87
     rigging
    0.87
     bid
    0.83
    ļéĨĴ
    0.82
     bidding
    0.82
     bids
    0.81
    ractor
    0.73
    Activations Density 0.031%

    No Known Activations