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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. 0-RES-JB
    11. 11315
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ilic
    -1.02
    icate
    -0.85
    ographed
    -0.75
    MIT
    -0.75
    otypes
    -0.74
    çīĪ
    -0.73
    otype
    -0.73
    oster
    -0.70
    icating
    -0.70
    ogie
    -0.69
    POSITIVE LOGITS
     Tik
    0.75
     patrolling
    0.71
     patrols
    0.66
     subp
    0.66
     maternity
    0.64
     redundancy
    0.63
     impunity
    0.63
     trillions
    0.62
     eyed
    0.62
    lessly
    0.61
    Activations Density 0.000%

    No Known Activations

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