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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. 3-RES-JB
    11. 4085
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    Explanations

    mentions or references to the location "Cloud" with different numerical values indicating the strength of the match

    oai_token-act-pair · gpt-3.5-turbo

    references to "Cloud" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     neurot
    -0.81
    MIT
    -0.79
    nings
    -0.78
    Ô
    -0.72
    代
    -0.70
    Interstitial
    -0.68
    NING
    -0.67
    WAYS
    -0.67
    ********************************
    -0.67
    ional
    -0.66
    POSITIVE LOGITS
     Imperium
    0.92
     Cloud
    0.87
    Front
    0.82
    burst
    0.80
     Computing
    0.77
     Service
    0.77
     Banking
    0.76
    front
    0.76
    leans
    0.75
     Skies
    0.75
    Activations Density 0.009%

    No Known Activations