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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. 3-RES-JB
    11. 24262
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    non-standard or special characters and symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    nels
    -0.80
    anwhile
    -0.78
     Blitz
    -0.69
    nyder
    -0.68
    wagen
    -0.68
     Dragonbound
    -0.68
    oway
    -0.68
     Miss
    -0.66
     horizont
    -0.66
     Accountability
    -0.66
    POSITIVE LOGITS
    ŃĶ
    1.27
    ¾
    1.21
    ı
    1.18
    Ļ
    1.18
    Ĥ
    1.09
    §
    1.09
    ©
    1.07
    ©¶æ¥µ
    1.02
    ¨
    1.00
    ¿
    1.00
    Activations Density 0.004%

    No Known Activations