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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. 9-RES-JB
    11. 23754
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    Explanations

    references to rescue operations and missions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rescue operations and efforts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ansion
    -0.74
    ounced
    -0.70
    ophon
    -0.67
    apolis
    -0.65
     Coulter
    -0.65
    eton
    -0.61
    olas
    -0.61
    olics
    -0.61
     Compton
    -0.61
    aldehyde
    -0.60
    POSITIVE LOGITS
     rescue
    0.86
     Mission
    0.77
     dogs
    0.77
     missions
    0.76
     Rescue
    0.76
     mission
    0.74
     Dogs
    0.74
     operations
    0.70
     dog
    0.70
     efforts
    0.69
    Activations Density 0.064%

    No Known Activations