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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. 7298
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    Explanations

    proper nouns, specifically the name "Matthew" or variations of it

    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
    éĹĺ
    -0.76
    FUL
    -0.70
    ãĤī
    -0.67
    ngth
    -0.66
     derog
    -0.65
    CRIP
    -0.65
     confir
    -0.63
     cabbage
    -0.63
    ¥ŀ
    -0.62
    FINE
    -0.62
    POSITIVE LOGITS
    hematically
    1.42
    hematic
    1.36
    urity
    1.32
    hemat
    1.27
    rices
    1.26
    ches
    1.19
    ilda
    1.17
    hews
    1.17
    hew
    1.15
    imes
    1.10
    Activations Density 0.026%

    No Known Activations