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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. 3236
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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
    enthal
    -0.76
    ipers
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    nyder
    -0.73
     murd
    -0.69
    iegel
    -0.69
     unden
    -0.67
     destro
    -0.66
    anism
    -0.66
    ouls
    -0.66
    hovah
    -0.66
    POSITIVE LOGITS
     Rhodes
    0.71
    heit
    0.71
    ¬¼
    0.69
    ory
    0.68
     label
    0.67
     Tour
    0.65
    arat
    0.63
    Progress
    0.61
     energetic
    0.60
    clusively
    0.60
    Activations Density 0.000%

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