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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. 22700
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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
    ancies
    -0.87
    sonian
    -0.82
    inav
    -0.82
    aughters
    -0.80
    yt
    -0.77
    ties
    -0.76
    olkien
    -0.72
    udeau
    -0.72
    tarian
    -0.71
    ascist
    -0.71
    POSITIVE LOGITS
    pool
    0.74
     Pool
    0.69
     reserved
    0.67
     digest
    0.65
     queues
    0.65
     Transcript
    0.64
    bean
    0.64
     Kou
    0.64
     Mongo
    0.63
     Vec
    0.63
    Activations Density 0.000%

    No Known Activations

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