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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. 9-RES-JB
    11. 13321
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    Explanations

    proper names, specifically the name "Ron"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Ron" mentioned in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rigging
    -0.68
    hower
    -0.61
    LER
    -0.61
     arranging
    -0.59
     subord
    -0.58
     td
    -0.57
     stride
    -0.57
    EMP
    -0.57
    ournals
    -0.57
    enegger
    -0.55
    POSITIVE LOGITS
    aldo
    1.33
    ald
    1.27
    nie
    1.08
     Swanson
    0.94
    ny
    0.92
    stadt
    0.89
     Weasley
    0.87
    nen
    0.86
    endez
    0.85
    Paul
    0.84
    Activations Density 0.034%

    No Known Activations