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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. 3198
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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
     Lak
    -0.60
    ________________________
    -0.59
     educate
    -0.58
    rees
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     ped
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     harshly
    -0.56
     ric
    -0.56
     rob
    -0.55
    plant
    -0.55
     Guru
    -0.55
    POSITIVE LOGITS
    Reviewer
    0.80
    incial
    0.70
    OPLE
    0.69
     extraord
    0.67
    inguishable
    0.63
    reme
    0.62
     è£ıè¦ļéĨĴ
    0.62
     Barton
    0.61
     Chr
    0.60
    comings
    0.60
    Activations Density 0.000%

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