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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. 14759
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    Explanations

    phrases related to speaking or presenting in public

    oai_token-act-pair · gpt-3.5-turbo

    instances of taking questions or engaging in dialogue during interviews or press events

    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
     Ruin
    -0.76
    sterdam
    -0.75
     realised
    -0.69
     Mages
    -0.67
    iom
    -0.67
     pioneers
    -0.66
    isure
    -0.66
     explorers
    -0.66
     Whilst
    -0.66
    teness
    -0.65
    POSITIVE LOGITS
     briefings
    1.42
     microphones
    1.22
     filib
    1.18
     microphone
    1.13
     testify
    1.09
     testifying
    1.09
     podium
    1.08
     subpoen
    1.06
     Congressional
    1.04
     congressional
    1.03
    Activations Density 0.544%

    No Known Activations