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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. 2-RES-JB
    11. 14375
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    acronyms related to technology

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥĪ
    -0.68
    enegger
    -0.66
    ãĤ©
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     Cumm
    -0.66
     unfocusedRange
    -0.61
     Wanted
    -0.61
    lighting
    -0.58
    æĺ¯
    -0.56
    names
    -0.56
     interviews
    -0.53
    POSITIVE LOGITS
    HS
    0.87
    QL
    0.81
    agos
    0.81
    HL
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    ACA
    0.79
    BS
    0.78
    IA
    0.78
    BA
    0.78
    AC
    0.77
    OA
    0.76
    Activations Density 0.137%

    No Known Activations