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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. 6-RES-JB
    6. 16312
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    Explanations

    names or words related to people or companies, particularly ones starting with 'Di'

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and brand names related to businesses or organizations

    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
    ãĤ´ãĥ³
    -0.85
    CLASS
    -0.69
     envy
    -0.66
     responsiveness
    -0.64
    Ô
    -0.63
     Adin
    -0.63
     srfAttach
    -0.62
     conspicuous
    -0.61
    wards
    -0.59
     corrosion
    -0.59
    POSITIVE LOGITS
    pora
    1.07
    nih
    0.98
    cious
    0.84
    etus
    0.84
    ritical
    0.83
    ibur
    0.81
    arb
    0.79
    ect
    0.79
    liction
    0.78
    asio
    0.76
    Activations Density 0.048%

    No Known Activations