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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. 7222
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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
    xia
    -0.56
    erville
    -0.55
     ],
    -0.54
     Cheng
    -0.53
     Hung
    -0.52
    ?",
    -0.51
    hua
    -0.50
    tz
    -0.50
    ikk
    -0.49
    ensional
    -0.48
    POSITIVE LOGITS
     accordingly
    1.31
     thereafter
    1.01
     thereof
    0.95
     therein
    0.85
     thereto
    0.84
     alike
    0.74
     afterward
    0.73
     consequently
    0.71
     afterwards
    0.70
     attRot
    0.62
    Activations Density 2.494%

    No Known Activations