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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. 7-RES-JB
    11. 7845
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    Explanations

    numerical values embedded within text

    oai_token-act-pair · gpt-3.5-turbo

    instances of an empty token or the end of a text segment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     disadvant
    -0.87
     manif
    -0.86
    schild
    -0.84
    raints
    -0.81
     horizont
    -0.81
    enegger
    -0.80
     misunder
    -0.78
     mathemat
    -0.76
     eleph
    -0.76
     agre
    -0.74
    POSITIVE LOGITS
    ħ
    0.96
    ı
    0.93
     ILCS
    0.91
    İ
    0.85
    Ķ
    0.85
    ®
    0.85
    STAR
    0.85
    ļ
    0.83
    ¤
    0.82
    IJ
    0.81
    Activations Density 0.024%

    No Known Activations