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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. 5097
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    Explanations

    companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    company and brand names

    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
    asta
    -0.69
    20439
    -0.67
    chest
    -0.65
    rn
    -0.64
    uminati
    -0.64
    berra
    -0.64
    >>>>
    -0.63
    isode
    -0.63
    alys
    -0.60
     Brett
    -0.59
    POSITIVE LOGITS
     spokesperson
    0.70
     Ventures
    0.69
     spokesman
    0.69
    's
    0.67
     executives
    0.66
     experimented
    0.66
     shareholders
    0.66
     officials
    0.65
     Customer
    0.65
     Transparency
    0.63
    Activations Density 0.368%

    No Known Activations