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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. 15280
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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
    irt
    -0.71
    Versions
    -0.70
    rol
    -0.70
    itial
    -0.67
    960
    -0.65
     pse
    -0.65
    gress
    -0.64
    asses
    -0.63
    farious
    -0.63
    ject
    -0.63
    POSITIVE LOGITS
    inez
    0.73
     curtains
    0.70
     Veterinary
    0.66
     Tucker
    0.64
     gonna
    0.64
     Cannes
    0.64
     Vaughn
    0.63
     Horizon
    0.63
     Jem
    0.63
     Spotlight
    0.62
    Activations Density 0.000%

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