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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. 3704
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    INDEX
    Explanations
    No Explanations Found
    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
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    Negative Logits
     NAACP
    -0.67
     curve
    -0.65
     dilig
    -0.64
    lycer
    -0.64
     HuffPost
    -0.63
     mural
    -0.63
     mediation
    -0.61
     advis
    -0.60
     Trout
    -0.60
     careful
    -0.60
    POSITIVE LOGITS
    ãĥĪ
    0.83
    ãĥ´
    0.81
    è¦ļéĨĴ
    0.78
    ãĥł
    0.77
    ãĥ«
    0.76
     Wing
    0.75
    oom
    0.73
    Wing
    0.72
    ombie
    0.72
    oise
    0.72
    Activations Density 0.000%

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