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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. 7-RES-JB
    11. 7185
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sunset
    -0.85
     dispers
    -0.85
     induct
    -0.83
     grounding
    -0.79
     electr
    -0.75
     galvan
    -0.75
     rat
    -0.74
     emanc
    -0.74
     rooting
    -0.74
     marked
    -0.73
    POSITIVE LOGITS
    com
    1.58
    org
    1.43
    fm
    1.35
    edu
    1.28
    tv
    1.28
    Org
    1.28
    exe
    1.27
    COM
    1.24
    gov
    1.24
    net
    1.23
    Activations Density 0.239%

    No Known Activations