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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. 9-RES-JB
    11. 1482
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    Explanations

    speed measurements in miles per hour and kilometers per hour

    oai_token-act-pair · gpt-3.5-turbo

    numeric values related to speed measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.79
     Identity
    -0.77
     Archives
    -0.75
    Pie
    -0.72
    priv
    -0.72
     Ethnic
    -0.69
     Mask
    -0.69
    Anonymous
    -0.67
     Anonymous
    -0.67
     rightful
    -0.67
    POSITIVE LOGITS
     mph
    1.58
     speeds
    1.56
    mph
    1.35
     speed
    1.34
     speeding
    1.27
     MPH
    1.25
    Speed
    1.25
     sped
    1.22
    speed
    1.22
     acceleration
    1.22
    Activations Density 0.263%

    No Known Activations