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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    **references to a specific cloud technology company**

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Cloud" in various contexts

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

    No Comments

    Negative Logits
     neurot
    -0.76
    Ô
    -0.76
    nings
    -0.72
    WAYS
    -0.70
    MIT
    -0.69
    Äĩ
    -0.68
     oxy
    -0.67
     arthritis
    -0.67
    enez
    -0.66
    idents
    -0.65
    POSITIVE LOGITS
     Imperium
    0.98
    burst
    0.88
     Cloud
    0.85
    leans
    0.82
     Computing
    0.82
    Front
    0.79
     Skies
    0.78
     computing
    0.77
     Clouds
    0.75
    lake
    0.74
    Activations Density 0.008%

    No Known Activations