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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. 9-RES-JB
    11. 4271
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Redd
    -0.68
    ippers
    -0.67
    hra
    -0.67
    holes
    -0.66
    enary
    -0.64
    .–
    -0.63
    served
    -0.63
    sonian
    -0.62
    clerosis
    -0.62
    GM
    -0.61
    POSITIVE LOGITS
     std
    0.98
     java
    0.77
     sys
    0.74
     Prelude
    0.74
     ak
    0.72
     Ada
    0.71
     {
    0.71
    std
    0.70
     io
    0.69
     Sens
    0.69
    Activations Density 0.040%

    No Known Activations