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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. 9856
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    Explanations

    phrases related to categorization or classification

    oai_token-act-pair · gpt-3.5-turbo

    references to classifications and categories

    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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     appre
    -0.75
    teness
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    ãĤ¼ãĤ¦ãĤ¹
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    isks
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    ãģį
    -0.66
    Tips
    -0.65
    Delivery
    -0.62
    Registration
    -0.62
     Citiz
    -0.61
     receipts
    -0.61
    POSITIVE LOGITS
    eq
    0.69
     of
    0.68
     viewpoint
    0.65
     thereof
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     preferred
    0.64
     guiActiveUnfocused
    0.63
    odox
    0.62
    ologies
    0.62
     prevailing
    0.62
     fare
    0.61
    Activations Density 0.308%

    No Known Activations