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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. 4-RES-JB
    11. 19452
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    Explanations

    references to specific geographic locations

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to foundational concepts and transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ity
    -1.02
     Brune
    -0.77
    eus
    -0.75
     embr
    -0.73
    ragon
    -0.72
    iator
    -0.71
     Karin
    -0.70
     Kramer
    -0.70
    jar
    -0.69
    aline
    -0.69
    POSITIVE LOGITS
    cellaneous
    0.85
    rote
    0.83
     guiActiveUn
    0.81
    CAST
    0.79
    sembly
    0.78
    MpServer
    0.75
    idy
    0.75
    chnology
    0.75
    OTAL
    0.75
    ħĭ
    0.73
    Activations Density 0.040%

    No Known Activations