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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. 11-RES-JB
    11. 3856
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    Explanations

    numbers in the format of thousands

    oai_token-act-pair · gpt-3.5-turbo

    instances of specific numerical values represented in a standard numeric format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     enthusi
    -0.70
    NetMessage
    -0.62
     behavi
    -0.62
     conclusion
    -0.61
     vain
    -0.61
     sights
    -0.61
     nem
    -0.60
     arsen
    -0.60
     rall
    -0.59
     opinion
    -0.59
    POSITIVE LOGITS
    200
    1.88
    800
    1.84
    050
    1.83
    300
    1.82
    700
    1.81
    600
    1.81
    500
    1.80
    400
    1.80
    000
    1.72
    024
    1.69
    Activations Density 0.054%

    No Known Activations