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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. 3193
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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
    ortium
    -0.89
    Stars
    -0.75
    PET
    -0.73
     Strikes
    -0.70
    chuk
    -0.70
    INGTON
    -0.70
     IMAGES
    -0.68
    ULAR
    -0.68
    ZE
    -0.67
     PET
    -0.64
    POSITIVE LOGITS
    abase
    1.00
    acan
    0.90
    olkien
    0.77
     Anon
    0.73
     proport
    0.72
    agram
    0.69
     behavi
    0.69
    âĶĢâĶĢâĶĢâĶĢ
    0.68
    hens
    0.68
    ©¶æ
    0.66
    Activations Density 0.000%

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