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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. 6-RES-JB
    11. 7872
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    INDEX
    Explanations

    verbs expressing action or movement

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with action or occurrence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fortunately
    -0.71
    deal
    -0.67
    tel
    -0.63
    onsense
    -0.62
    gui
    -0.62
    bal
    -0.61
    76561
    -0.61
    ont
    -0.61
     attaching
    -0.59
    croft
    -0.58
    POSITIVE LOGITS
    iaries
    0.68
    HAM
    0.66
     hay
    0.65
    iary
    0.65
    Ni
    0.59
    oji
    0.59
    AME
    0.58
     cough
    0.57
    ersed
    0.56
     stale
    0.56
    Activations Density 0.272%

    No Known Activations