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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. 1-RES-JB
    6. 19156
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    Explanations

    phrases related to occupations, particularly activism and political movements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to occupation and related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Carbuncle
    -0.73
    cale
    -0.72
     Tycoon
    -0.66
     Basil
    -0.66
    bill
    -0.65
     Bah
    -0.65
    nature
    -0.64
     Grind
    -0.64
    bite
    -0.63
    displayText
    -0.63
    POSITIVE LOGITS
    Occup
    0.96
     occup
    0.92
    iers
    0.86
    ational
    0.81
     Occup
    0.78
    ations
    0.77
    iture
    0.76
    ants
    0.76
     Occupations
    0.76
    occup
    0.76
    Activations Density 0.009%

    No Known Activations