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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. 9263
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    Explanations

    names of educational institutions and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly names related to sports and institutions

    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
    doms
    -0.55
     endings
    -0.45
     EVs
    -0.45
     workplaces
    -0.45
     vaping
    -0.45
     achievements
    -0.44
     Rowling
    -0.44
     Goldberg
    -0.44
     prostitutes
    -0.43
     bribes
    -0.43
    POSITIVE LOGITS
    ا
    0.69
    pt
    0.64
    Ñģ
    0.63
    spec
    0.61
    n
    0.59
    farious
    0.59
    ochond
    0.58
    index
    0.57
    lib
    0.56
    ī
    0.56
    Activations Density 0.630%

    No Known Activations