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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. 7-RES-JB
    11. 2975
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    Explanations

    phrases capturing the superlative or most extreme aspect of something

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    culosis
    -0.67
    hya
    -0.60
     lapt
    -0.59
     aside
    -0.58
     disposed
    -0.57
     satell
    -0.57
     Provided
    -0.57
    enery
    -0.56
    gee
    -0.55
    iture
    -0.55
    POSITIVE LOGITS
    arching
    0.78
    icial
    0.78
     many
    0.64
     Decay
    0.62
    imov
    0.61
     nic
    0.61
    phabet
    0.60
    apest
    0.60
     innumerable
    0.60
     sorts
    0.59
    Activations Density 0.082%

    No Known Activations