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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. 3-RES-JB
    11. 8723
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    Explanations

    references to the Pew Research Center in text

    oai_token-act-pair · gpt-3.5-turbo

    references to the Pew Research Center

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Runner
    -0.69
    CONCLUS
    -0.64
     fluids
    -0.64
    ~~~~~~~~~~~~~~~~
    -0.64
    ³³³³³³³³³³³³³³³³
    -0.61
     vag
    -0.61
     DRAG
    -0.61
     seriousness
    -0.58
     Roses
    -0.58
     Anarchy
    -0.57
    POSITIVE LOGITS
    aukee
    1.16
     Pew
    1.12
    Die
    0.96
    sburg
    0.92
    die
    0.88
    pie
    0.87
    auld
    0.84
    sylvania
    0.79
    ersen
    0.78
    sta
    0.77
    Activations Density 0.006%

    No Known Activations