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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. 0-RES-JB
    11. 15173
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    Explanations

    numbers related to quantity or statistics

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the number 49

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Embedding Space Digit Features

    No Comments

    Negative Logits
    lla
    -0.65
    cially
    -0.64
    apon
    -0.64
    ghazi
    -0.63
    APE
    -0.61
    irtual
    -0.61
    ionic
    -0.60
     palate
    -0.60
    inventoryQuantity
    -0.59
    ango
    -0.59
    POSITIVE LOGITS
     49
    3.12
     48
    1.87
     39
    1.87
     51
    1.84
     53
    1.84
     47
    1.83
     59
    1.79
    49
    1.72
     46
    1.67
     54
    1.65
    Activations Density 0.035%

    No Known Activations