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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. 2-RES-JB
    11. 5788
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    Explanations

    numerical data in decimal format

    oai_token-act-pair · gpt-3.5-turbo

    sentences or phrases containing 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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     enthusi
    -0.84
    ĸļ
    -0.82
     bos
    -0.80
     entreprene
    -0.77
     volunte
    -0.77
     metic
    -0.77
     rall
    -0.76
     purse
    -0.74
    wagen
    -0.72
     advis
    -0.72
    POSITIVE LOGITS
    Downloadha
    1.04
    jpg
    1.01
    sbm
    0.98
    tumblr
    0.90
     However
    0.89
    fm
    0.88
    0
    0.87
    66666666
    0.87
    5
    0.87
    htm
    0.86
    Activations Density 0.827%

    No Known Activations