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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. 1-RES-JB
    11. 21884
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     investig
    -0.71
     tam
    -0.68
    allas
    -0.66
     intraven
    -0.66
     joints
    -0.66
     pregnancies
    -0.66
     untreated
    -0.65
    enger
    -0.65
     fet
    -0.64
    enhagen
    -0.64
    POSITIVE LOGITS
    Ru
    0.84
    ãĤ·ãĥ£
    0.78
     Ruin
    0.75
    ãĥ³ãĤ¸
    0.68
    Row
    0.66
    Room
    0.66
    Boy
    0.66
    Sin
    0.65
    Dad
    0.65
    1000
    0.63
    Activations Density 0.000%

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