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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. 22164
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    Explanations

    phrases related to excessiveness or exaggeration

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to excessive behavior or overindulgence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Isle
    -0.64
     Doe
    -0.62
     breeze
    -0.59
    ORY
    -0.58
     hell
    -0.58
     Dynamo
    -0.57
    eria
    -0.57
    ï¸ı
    -0.56
     Heist
    -0.56
     Ranger
    -0.55
    POSITIVE LOGITS
    blown
    1.39
    confidence
    1.38
    bearing
    1.36
    worked
    1.30
    priced
    1.30
    reaching
    1.30
    kill
    1.28
    stretched
    1.28
    paid
    1.27
    hyp
    1.27
    Activations Density 0.050%

    No Known Activations