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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. 6155
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    Explanations

    dates represented as numbers

    oai_token-act-pair · gpt-3.5-turbo

    the number '31' in various contexts

    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
     accommodation
    -0.64
    èª
    -0.62
    etary
    -0.62
    SPONSORED
    -0.62
     [/
    -0.60
     entertained
    -0.58
     metab
    -0.58
    zed
    -0.57
    rooms
    -0.55
    astic
    -0.54
    POSITIVE LOGITS
     31
    3.04
     29
    2.09
     32
    1.98
     27
    1.98
     33
    1.97
     41
    1.97
     26
    1.94
     34
    1.93
     28
    1.89
     61
    1.88
    Activations Density 0.038%

    No Known Activations