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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 22598
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    Explanations

    action verbs indicating physical or mental activity

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating actions or capabilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sabb
    -0.64
    }"
    -0.64
    mes
    -0.61
    Lenin
    -0.61
     Jur
    -0.57
     Completed
    -0.57
     Cly
    -0.57
    IL
    -0.56
     Mell
    -0.55
     meant
    -0.55
    POSITIVE LOGITS
     safely
    0.91
     freely
    0.84
    ibly
    0.83
     muster
    0.80
     easily
    0.79
    uate
    0.78
     anytime
    0.78
    ivably
    0.77
     anywhere
    0.73
    odder
    0.71
    Activations Density 0.311%

    No Known Activations