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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. 3-RES-JB
    6. 19565
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    Explanations

    people in leadership positions, particularly executive directors

    oai_token-act-pair · gpt-3.5-turbo

    titles and positions of authority figures, specifically directors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endish
    -0.72
     favour
    -0.68
    tnc
    -0.66
    burning
    -0.65
    asca
    -0.65
     rive
    -0.64
    nikov
    -0.63
    ulz
    -0.62
    eros
    -0.61
    illet
    -0.60
    POSITIVE LOGITS
    Publisher
    0.77
    ially
    0.76
     extraord
    0.73
    Anne
    0.72
    IAL
    0.72
     Shaun
    0.71
     Betsy
    0.70
    hips
    0.70
    Russ
    0.70
     Stacy
    0.68
    Activations Density 0.124%

    No Known Activations