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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. 10-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĸĪâĸĪâĸĪâĸĪ
    -0.85
    ertodd
    -0.81
    Ö¼
    -0.81
    roma
    -0.80
    âķIJâķIJ
    -0.76
    uden
    -0.76
    cember
    -0.76
    oxide
    -0.75
    âĸĪâĸĪ
    -0.75
    owitz
    -0.74
    POSITIVE LOGITS
    ities
    1.14
    ized
    1.04
    ization
    1.02
    izing
    0.92
    ised
    0.92
     governments
    0.91
    ism
    0.90
    izations
    0.88
    izes
    0.87
     economies
    0.87
    Activations Density 0.019%

    No Known Activations