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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. 2859
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    oai_token-act-pair · gpt-3.5-turbo

    references to multimedia content types and structures

    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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    uckland
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    ovember
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    orsi
    -0.72
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    POSITIVE LOGITS
     guiActiveUnfocused
    0.80
    livious
    0.77
    application
    0.71
    TEXT
    0.70
     nom
    0.70
     MT
    0.70
    submit
    0.69
    ARCH
    0.68
     ZIP
    0.68
     MED
    0.67
    Activations Density 0.095%

    No Known Activations