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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. 15440
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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
    FACE
    -0.84
    ĸļ
    -0.74
    YN
    -0.72
    ippy
    -0.70
    appers
    -0.69
    IDS
    -0.69
    POL
    -0.67
     HELP
    -0.66
    ylum
    -0.66
    WOR
    -0.65
    POSITIVE LOGITS
    mund
    0.79
     Unch
    0.69
    ernels
    0.68
    sts
    0.67
    veland
    0.66
    oke
    0.65
    overe
    0.65
     na
    0.64
    frames
    0.63
    evaluate
    0.62
    Activations Density 0.000%

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