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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. 13221
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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
    arnaev
    -0.84
    ihu
    -0.81
    icz
    -0.79
    itness
    -0.77
    anmar
    -0.75
    enn
    -0.71
    soDeliveryDate
    -0.70
    stretched
    -0.69
    ELL
    -0.68
    hene
    -0.68
    POSITIVE LOGITS
     Desk
    0.73
     Libre
    0.65
     Declaration
    0.63
     Awards
    0.61
     Registry
    0.60
     Response
    0.60
     Dispatch
    0.59
     Kills
    0.59
     Hammer
    0.59
     Crash
    0.58
    Activations Density 0.000%

    No Known Activations

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