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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. 2-RES-JB
    11. 9271
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    agogue
    -0.67
     cook
    -0.61
     risking
    -0.60
    eering
    -0.60
    going
    -0.60
     accusing
    -0.60
    agog
    -0.60
     Scholarship
    -0.60
     BaseType
    -0.59
    eating
    -0.58
    POSITIVE LOGITS
    Reviewer
    0.77
    iosyn
    0.71
    olor
    0.70
     thous
    0.67
    units
    0.67
     ITS
    0.65
    owship
    0.63
    OME
    0.63
    ENS
    0.63
    Denver
    0.63
    Activations Density 0.000%

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