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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. 7-RES-JB
    11. 11529
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    Explanations

    phrases related to safety, fairness, and respect

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to fairness, safety, and transparency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    toggle
    -0.72
    txt
    -0.68
     dearly
    -0.65
     nostalg
    -0.64
     thumbnail
    -0.64
    oggle
    -0.64
    reenshots
    -0.63
    amon
    -0.61
    frey
    -0.61
    aiden
    -0.61
    POSITIVE LOGITS
    cellence
    0.67
    rehensive
    0.67
    edIn
    0.66
     inclusive
    0.65
     Mechdragon
    0.63
     workplace
    0.62
     Ensure
    0.62
     stewards
    0.61
     Personnel
    0.61
    owship
    0.61
    Activations Density 0.502%

    No Known Activations