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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 8741
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    Explanations

    references to microphones

    oai_token-act-pair · gpt-3.5-turbo

    mentions of microphones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lod
    -0.76
     Arbor
    -0.72
     Kinnikuman
    -0.72
     Verd
    -0.68
     Gardens
    -0.68
     Windsor
    -0.66
    Lv
    -0.66
     Hur
    -0.65
     Burton
    -0.65
     Blossom
    -0.65
    POSITIVE LOGITS
     mic
    4.15
     microphone
    2.49
     microphones
    2.03
    mic
    2.01
     Mic
    1.73
    Mic
    1.57
     MIC
    1.44
    MIC
    1.32
     meg
    1.22
    micro
    1.14
    Activations Density 0.013%

    No Known Activations