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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. 8-RES-JB
    11. 7713
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    INDEX
    Explanations

    universities and locations

    oai_token-act-pair · gpt-3.5-turbo

    names of universities and educational institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     realise
    -1.28
     realised
    -1.19
     analys
    -1.16
     maths
    -1.15
     analyse
    -1.13
     recognise
    -1.09
     scept
    -1.08
     apologise
    -1.07
     organis
    -1.05
    isation
    -1.02
    POSITIVE LOGITS
     Lafayette
    1.03
     Spokane
    1.02
     Appalachian
    0.99
     Interstate
    0.98
     Akron
    0.98
     Prairie
    0.94
     Chattanooga
    0.93
     Wichita
    0.93
     Tulsa
    0.92
     Jacksonville
    0.91
    Activations Density 1.463%

    No Known Activations