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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. 13888
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    INDEX
    Explanations

    mentions of profit or profit-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to profit and financial interests

    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
     Sturgeon
    -0.69
     Alma
    -0.64
    chairs
    -0.63
     Aval
    -0.62
    loo
    -0.61
     Buk
    -0.61
    ãĥ¯ãĥ³
    -0.61
     flu
    -0.60
     Peace
    -0.58
     Sally
    -0.58
    POSITIVE LOGITS
     margins
    1.42
     margin
    1.32
     motive
    1.04
    ably
    0.95
     reinvest
    0.91
    nings
    0.91
     maxim
    0.89
    margin
    0.85
     reap
    0.82
    onential
    0.79
    Activations Density 0.040%

    No Known Activations