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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. 7727
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    Explanations

    adjectives related to physical properties, such as texture and appearance

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to functionality and practicality in objects or processes

    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
     Samar
    -0.70
     convened
    -0.63
     inaug
    -0.63
     recounts
    -0.62
     Paran
    -0.62
     Osw
    -0.61
     neuroscience
    -0.60
     redes
    -0.60
    etus
    -0.60
     consortium
    -0.60
    POSITIVE LOGITS
     when
    0.96
     whereas
    0.94
     compared
    0.92
     underneath
    0.89
     indoors
    0.88
     outdoors
    0.87
    .(
    0.87
     WITHOUT
    0.87
     whilst
    0.86
     without
    0.86
    Activations Density 0.430%

    No Known Activations