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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. 3-RES-JB
    11. 3606
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Martin"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.91
    ngth
    -0.85
    grades
    -0.82
    ij士
    -0.77
    sie
    -0.75
    sed
    -0.72
    grading
    -0.70
    LOAD
    -0.69
    GoldMagikarp
    -0.69
    rawling
    -0.68
    POSITIVE LOGITS
     Luther
    1.38
     Martin
    1.02
    ique
    0.90
     Sheen
    0.85
    Martin
    0.84
    otti
    0.80
    ias
    0.79
     Hart
    0.76
     Hein
    0.76
    endez
    0.76
    Activations Density 0.009%

    No Known Activations