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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. 11-RES-JB
    11. 5258
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    Explanations

    proper nouns, including names of people and titles of literary works

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BIL
    -0.93
    Downloadha
    -0.87
    ibaba
    -0.86
    hari
    -0.84
    btn
    -0.82
    MO
    -0.81
    rex
    -0.79
    netflix
    -0.79
    AMI
    -0.79
    IVERS
    -0.78
    POSITIVE LOGITS
     writings
    1.28
     masterpiece
    1.26
     seminal
    1.22
     famous
    1.09
     autobiography
    1.08
     1937
    1.08
     1936
    1.05
     teachings
    1.04
     contemporaries
    1.04
     successors
    1.03
    Activations Density 0.184%

    No Known Activations