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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. 8288
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    Explanations

    references to external sources or services

    oai_token-act-pair · gpt-3.5-turbo

    references to external sources or services involved in various 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
     sandwiches
    -0.84
    skirts
    -0.83
     selfies
    -0.80
    ophobia
    -0.80
     debates
    -0.77
    atism
    -0.76
     hugs
    -0.76
     cartoons
    -0.76
    esity
    -0.75
     memes
    -0.75
    POSITIVE LOGITS
     supplier
    1.63
     provider
    1.51
     intermediary
    1.49
     distributor
    1.48
     bidder
    1.48
     vendor
    1.40
     broker
    1.38
     entity
    1.36
     contractor
    1.35
     dealer
    1.34
    Activations Density 0.466%

    No Known Activations