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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. 4-RES-JB
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    Explanations

    references to events or concepts associated with the 21st century

    oai_token-act-pair · gpt-3.5-turbo

    references to the 21st century

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

    No Comments

    Negative Logits
    pher
    -0.88
    umen
    -0.83
    iannopoulos
    -0.75
    terness
    -0.69
    anguage
    -0.67
    hound
    -0.67
     therap
    -0.67
    worms
    -0.66
    resources
    -0.65
    vim
    -0.65
    POSITIVE LOGITS
    ablishment
    0.93
    oppers
    0.88
    eal
    0.85
     century
    0.85
     Century
    0.82
     Runner
    0.78
    itute
    0.77
    ider
    0.75
    ella
    0.74
    alker
    0.73
    Activations Density 0.017%

    No Known Activations