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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. 6619
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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
    76561
    -0.77
    rone
    -0.73
    rine
    -0.69
     volunteers
    -0.67
    rete
    -0.67
    river
    -0.66
    rum
    -0.66
    erial
    -0.66
    mop
    -0.64
    ridor
    -0.64
    POSITIVE LOGITS
    essed
    0.65
    esses
    0.63
     Instructor
    0.63
     Pik
    0.63
     reigning
    0.62
     Tayyip
    0.62
     Hiro
    0.61
    folio
    0.59
    ~~
    0.59
    hani
    0.59
    Activations Density 0.000%

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