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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. 4-RES-JB
    11. 9648
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    Explanations

    large numerical values

    oai_token-act-pair · gpt-3.5-turbo

    the presence of numerical data or statistics

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

    No Comments

    Negative Logits
    enhagen
    -0.73
     Toast
    -0.60
    ESE
    -0.60
    asma
    -0.59
     nodd
    -0.59
     EDITION
    -0.59
    Tracker
    -0.57
    swick
    -0.57
    boxing
    -0.57
    olly
    -0.57
    POSITIVE LOGITS
    000
    1.41
    600
    1.04
    800
    1.04
    700
    1.04
    500
    1.00
    400
    0.93
    00
    0.91
    200
    0.90
    300
    0.88
    045
    0.84
    Activations Density 0.198%

    No Known Activations