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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. 8-RES-JB
    11. 24004
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    Explanations

    ranges of quantity or number between two values

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ranges or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dynamics
    -0.65
    agate
    -0.62
     resolves
    -0.62
     Definition
    -0.58
     Puzzles
    -0.57
     distur
    -0.56
     cath
    -0.56
     relates
    -0.54
     Trials
    -0.52
    ":["
    -0.52
    POSITIVE LOGITS
     dozen
    1.19
    dozen
    1.11
    undreds
    1.09
     eighty
    0.91
     hundred
    0.87
     450
    0.87
    icum
    0.85
     800
    0.84
     200
    0.83
     400
    0.83
    Activations Density 0.311%

    No Known Activations