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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. 11181
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    Explanations

    information related to size or quantity

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing size or magnitude, particularly those referring to large quantities or groups

    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
    Frames
    -0.88
    rooms
    -0.87
    events
    -0.80
    assies
    -0.79
    lees
    -0.78
    ships
    -0.77
    Phones
    -0.77
    Ear
    -0.75
    ernels
    -0.73
    atives
    -0.72
    POSITIVE LOGITS
     spokesperson
    1.18
     spokeswoman
    1.11
     spokesman
    1.09
    ccording
    1.01
     commenter
    1.00
     researcher
    0.94
     excerpt
    0.93
     disclaimer
    0.91
     example
    0.89
     glance
    0.87
    Activations Density 0.336%

    No Known Activations