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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. 10436
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    INDEX
    Explanations
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    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
    ACTED
    -0.75
     Favor
    -0.73
     Preferred
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     heaven
    -0.70
     Drawn
    -0.67
     Dish
    -0.66
    ãĥīãĥ©
    -0.65
     Parables
    -0.65
     Swanson
    -0.64
     Saw
    -0.64
    POSITIVE LOGITS
     challeng
    0.85
    apest
    0.79
    awei
    0.79
    ashtra
    0.76
    ibaba
    0.73
    emouth
    0.72
     describ
    0.70
    agy
    0.69
    appers
    0.68
    oké
    0.67
    Activations Density 0.000%

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