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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. 8105
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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
    cape
    -0.87
    ']
    -0.75
    Gre
    -0.74
     Gre
    -0.71
     Disk
    -0.64
     Corsair
    -0.64
     Hercules
    -0.61
     Wells
    -0.61
     Crusade
    -0.60
     Disneyland
    -0.60
    POSITIVE LOGITS
    etheless
    0.96
    anwhile
    0.74
    İĭ
    0.73
    enfranch
    0.72
    aganda
    0.71
    quartered
    0.69
    =-=-
    0.69
    vae
    0.67
    ivia
    0.67
    imeo
    0.65
    Activations Density 0.000%

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