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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. 3-RES-JB
    11. 9131
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    grounds
    -0.67
    AFTA
    -0.64
    fights
    -0.63
     attendant
    -0.62
    anguage
    -0.62
    ILY
    -0.61
     scapego
    -0.60
    uations
    -0.59
     disadvant
    -0.59
    umsy
    -0.59
    POSITIVE LOGITS
    sers
    0.72
    bern
    0.70
    301
    0.63
    sen
    0.63
    msg
    0.63
    003
    0.61
    tnc
    0.61
     Md
    0.61
     dope
    0.61
    033
    0.61
    Activations Density 0.000%

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