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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. 2-RES-JB
    11. 8174
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    Explanations

    acronyms with 'AU' and numerical values

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.93
    ivas
    -0.90
    idate
    -0.84
    stakes
    -0.83
    Redditor
    -0.80
    tons
    -0.80
    idates
    -0.79
    dog
    -0.78
    ows
    -0.77
    rooms
    -0.76
    POSITIVE LOGITS
     AU
    0.91
    AU
    0.87
    RA
    0.80
     FTA
    0.77
    iliary
    0.76
     impe
    0.72
     hemor
    0.71
    HAHA
    0.71
    DEF
    0.71
    ENA
    0.71
    Activations Density 0.009%

    No Known Activations