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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. 13821
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    Explanations

    examples of people's names

    oai_token-act-pair · gpt-3.5-turbo

    prominent names or references to individuals, particularly political figures

    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
    Not in Any Lists

    No Comments

    Negative Logits
    teenth
    -0.86
     Liberties
    -0.75
    cess
    -0.75
    earable
    -0.74
     Doodle
    -0.71
    ting
    -0.71
    ters
    -0.69
    bre
    -0.69
    bow
    -0.67
    lich
    -0.66
    POSITIVE LOGITS
    avorite
    0.99
    iday
    0.74
    achev
    0.72
     Amar
    0.71
    folios
    0.70
    axter
    0.70
    ounding
    0.68
    obos
    0.67
     spores
    0.67
    ules
    0.66
    Activations Density 0.066%

    No Known Activations