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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. 13609
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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
    ixel
    -0.68
    enture
    -0.67
    undai
    -0.63
    ciating
    -0.63
    encia
    -0.63
     unilateral
    -0.62
    uku
    -0.62
    levard
    -0.62
     Glover
    -0.60
    ocket
    -0.60
    POSITIVE LOGITS
    Fire
    0.74
    urities
    0.73
    senal
    0.69
     entitled
    0.68
    Track
    0.68
    phalt
    0.67
    Solid
    0.65
    ãĥķãĤ¡
    0.64
    iasis
    0.64
    nit
    0.64
    Activations Density 0.000%

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