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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. 6-RES-JB
    11. 13739
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    Explanations

    the name "Joe" followed by a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Joe."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     glim
    -0.89
    mble
    -0.87
    igators
    -0.84
    hips
    -0.82
    NESS
    -0.79
    igator
    -0.75
    raints
    -0.74
    igated
    -0.74
    chwitz
    -0.71
    rights
    -0.71
    POSITIVE LOGITS
     Biden
    0.94
     Arpaio
    0.88
     Rog
    0.82
    zzi
    0.82
    ppo
    0.82
    xtap
    0.78
     Danger
    0.76
    pport
    0.76
     Walsh
    0.74
     Scarborough
    0.73
    Activations Density 0.013%

    No Known Activations