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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. 7-RES-JB
    11. 7461
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to business, marketing, and research activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ouls
    -0.89
    thumbnails
    -0.88
     Kinnikuman
    -0.84
    neys
    -0.76
    éĹĺ
    -0.73
    strings
    -0.73
    inventoryQuantity
    -0.72
    lees
    -0.72
    é¾įåĸļ士
    -0.72
    姫
    -0.72
    POSITIVE LOGITS
     program
    0.95
     initiative
    0.94
     campaigner
    0.94
     fundraiser
    0.93
     advisory
    0.90
     standpoint
    0.89
     programme
    0.88
     solution
    0.88
     organization
    0.87
     powerhouse
    0.87
    Activations Density 0.392%

    No Known Activations