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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. 11960
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    Explanations

    mentions of sports teams and their performances

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams and related events

    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
     ********************************
    -0.74
    IENT
    -0.63
    ãĤ¬
    -0.63
    ãĤ±
    -0.60
    "!
    -0.59
    laughs
    -0.58
    %%%%
    -0.58
    ibliography
    -0.58
    Companies
    -0.55
    anted
    -0.55
    POSITIVE LOGITS
     last
    1.37
     earlier
    1.37
     yesterday
    1.27
    last
    0.92
     LAST
    0.92
     recently
    0.89
     late
    0.88
     Wednesday
    0.88
     Tuesday
    0.87
     Friday
    0.87
    Activations Density 0.285%

    No Known Activations