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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. 14531
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    INDEX
    Explanations
    No Explanations Found
    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
    REE
    -0.74
    nets
    -0.73
    RANT
    -0.71
    dayName
    -0.70
    OTUS
    -0.68
    weed
    -0.68
    Albert
    -0.67
    osate
    -0.64
     Romo
    -0.64
    Clar
    -0.64
    POSITIVE LOGITS
    flush
    0.77
    stadt
    0.71
    issance
    0.71
    uble
    0.68
    allel
    0.67
     Hung
    0.66
     Kyl
    0.65
    ocked
    0.65
     paddle
    0.64
     inund
    0.64
    Activations Density 0.000%

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