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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. 3896
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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
    -0.75
    éĥ
    -0.75
    GROUP
    -0.69
    ãĥ³ãĤ¸
    -0.69
    cu
    -0.67
    igrants
    -0.66
    ãĥ¼ãĥĨ
    -0.65
    ities
    -0.65
    kson
    -0.64
    æĺ
    -0.64
    POSITIVE LOGITS
    ocative
    0.69
    ipop
    0.68
    apo
    0.65
    alos
    0.65
    eanor
    0.64
    orem
    0.64
     err
    0.63
    alla
    0.62
    urance
    0.62
    asive
    0.61
    Activations Density 0.000%

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