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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. 568
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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
     Bulg
    -0.78
     rack
    -0.76
     exhaust
    -0.75
     furn
    -0.72
     pars
    -0.70
     racks
    -0.67
     amd
    -0.66
     discriminate
    -0.66
     recite
    -0.64
     Barber
    -0.63
    POSITIVE LOGITS
    izont
    0.73
    restrial
    0.68
    gradation
    0.66
    ylan
    0.65
    video
    0.65
    contact
    0.63
     Za
    0.63
    iscons
    0.63
    kish
    0.62
    Border
    0.61
    Activations Density 0.000%

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