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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. 2076
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    Explanations

    phrases emphasizing extremes or superlatives

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing extremes or superlatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
    iture
    -0.83
    kamp
    -0.73
    matter
    -0.70
    culosis
    -0.70
    tera
    -0.69
    iage
    -0.69
    unity
    -0.67
    arity
    -0.67
    hyde
    -0.66
    gow
    -0.66
    POSITIVE LOGITS
     sorts
    0.85
     earners
    0.79
     course
    0.71
     ones
    0.70
     disappoint
    0.70
     incarn
    0.69
     highs
    0.68
     kin
    0.68
     classes
    0.66
     ours
    0.65
    Activations Density 0.064%

    No Known Activations