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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
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    Explanations

    numerical values representing a specific quantity (90) in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the number ninety and its variations in context

    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
    anners
    -0.77
    NetMessage
    -0.77
    agging
    -0.73
    wcsstore
    -0.69
    ionics
    -0.66
    Tags
    -0.65
    ucker
    -0.63
    iber
    -0.62
    ubi
    -0.61
    ibly
    -0.61
    POSITIVE LOGITS
     90
    3.14
     80
    2.19
     95
    2.09
     85
    2.07
     91
    2.06
     ninety
    2.05
     92
    2.01
     70
    2.00
     89
    1.97
     60
    1.95
    Activations Density 0.022%

    No Known Activations