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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. 10-RES-JB
    11. 23342
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    Explanations

    short numerical sequences with commas

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     newsp
    -0.73
     streng
    -0.72
     behav
    -0.70
     advis
    -0.66
     behavi
    -0.64
     advoc
    -0.63
     antioxid
    -0.62
     opin
    -0.60
    eers
    -0.60
     assistance
    -0.60
    POSITIVE LOGITS
    000
    2.09
    500
    1.62
    800
    1.52
    600
    1.49
    700
    1.48
    400
    1.43
    050
    1.38
    070
    1.36
    040
    1.35
    200
    1.35
    Activations Density 0.103%

    No Known Activations