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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. 13168
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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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    No Comments

    Negative Logits
    itially
    -0.84
     automate
    -0.78
     redes
    -0.75
     veter
    -0.74
    imar
    -0.73
     notor
    -0.73
    ĺħ
    -0.72
    anmar
    -0.71
     nodd
    -0.71
    jab
    -0.69
    POSITIVE LOGITS
     IX
    0.72
     Taken
    0.71
     Cardinal
    0.71
     Apostle
    0.69
     Satanic
    0.68
     XII
    0.68
     Prel
    0.67
     Leaves
    0.67
     Blood
    0.66
     simulac
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.