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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. 10-RES-JB
    11. 5966
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    Explanations

    superlatives related to speed and growth

    oai_token-act-pair · gpt-3.5-turbo

    superlative forms related to speed or rapid growth

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liga
    -0.82
    arov
    -0.81
    warts
    -0.76
    raints
    -0.72
     Marketable
    -0.70
    mberg
    -0.67
    rights
    -0.66
    OUN
    -0.66
    arna
    -0.65
    imaru
    -0.64
    POSITIVE LOGITS
     paced
    1.54
    idious
    1.53
     turnaround
    1.11
     speeds
    1.09
     lear
    1.00
     pace
    0.99
     learners
    0.93
     growing
    0.90
     accelerating
    0.89
     tempo
    0.86
    Activations Density 0.035%

    No Known Activations