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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 24033
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    Explanations

    phrases related to steps or actions needed to achieve a specific goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to instructions or guidelines for achieving tasks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     outweigh
    -0.78
     outwe
    -0.68
     drowned
    -0.67
    marine
    -0.65
     benches
    -0.65
     alive
    -0.63
    burning
    -0.63
     quot
    -0.62
    pez
    -0.62
     harb
    -0.61
    POSITIVE LOGITS
    aucus
    0.73
    itialized
    0.68
     nutshell
    0.66
     Brief
    0.65
    ertain
    0.64
     recap
    0.64
    zbek
    0.64
     meantime
    0.63
     disclaimer
    0.62
    kinson
    0.62
    Activations Density 0.121%

    No Known Activations