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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. 6-RES-JB
    11. 14019
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    Explanations

    words related to restructuring

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "construct" and its derivatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    astern
    -0.64
     Yel
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     Vale
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    >>>>>>>>
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    pora
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     Bryant
    -0.61
     Ober
    -0.59
     Hut
    -0.59
    ļéĨĴ
    -0.59
     Alban
    -0.59
    POSITIVE LOGITS
    ruct
    0.98
    ures
    0.93
    lisher
    0.91
    ured
    0.82
    uring
    0.82
    urous
    0.81
    oin
    0.80
    ibles
    0.79
    endi
    0.78
    iona
    0.78
    Activations Density 0.055%

    No Known Activations