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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. 5204
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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
     toes
    -0.79
     chains
    -0.76
     doom
    -0.76
     yarn
    -0.75
     queens
    -0.75
    pieces
    -0.75
     boots
    -0.73
     wool
    -0.73
     shave
    -0.73
     bras
    -0.72
    POSITIVE LOGITS
     Advisory
    1.34
     Regulatory
    1.26
     Assessment
    1.26
     Assistance
    1.25
     Development
    1.24
     Accountability
    1.20
     Protection
    1.19
     Resource
    1.19
     Subst
    1.17
     Compensation
    1.17
    Activations Density 0.303%

    No Known Activations