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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. 0-RES-JB
    11. 20373
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper names, particularly those of individuals involved in sports or related discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assic
    -0.80
    oa
    -0.76
    eli
    -0.73
     Horde
    -0.73
     gateway
    -0.70
    cas
    -0.69
    rates
    -0.68
     Arcade
    -0.67
    rika
    -0.66
    76561
    -0.66
    POSITIVE LOGITS
     McDonnell
    2.47
     Zimmer
    2.01
     Kub
    1.50
    Mer
    1.45
     Barber
    1.24
    immer
    1.14
     Fug
    1.10
     Gibbs
    1.08
     Cummings
    1.06
     McAuliffe
    1.03
    Activations Density 0.046%

    No Known Activations