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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. 9680
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    punctuation marks, specifically periods

    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
     withd
    -1.02
     inver
    -0.90
     grounding
    -0.85
     mosqu
    -0.85
     challeng
    -0.82
     prototyp
    -0.82
     coh
    -0.81
     manif
    -0.80
     bonding
    -0.80
     flowering
    -0.79
    POSITIVE LOGITS
    jpg
    1.19
     Accessed
    1.13
    Org
    1.08
     Retrieved
    1.06
    NET
    0.96
    org
    0.96
    txt
    0.93
    png
    0.93
    exe
    0.90
    zip
    0.90
    Activations Density 0.217%

    No Known Activations