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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. 9-RES-JB
    11. 22813
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    INDEX
    Explanations

    universities or institutions by their name

    oai_token-act-pair · gpt-3.5-turbo

    mentions of universities and their associated locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.70
    andise
    -0.69
    bleacher
    -0.62
     coloring
    -0.61
    XM
    -0.61
     disregard
    -0.59
     disob
    -0.59
     deductions
    -0.59
     inappropriately
    -0.58
    Veh
    -0.58
    POSITIVE LOGITS
     Oxford
    0.97
     Amsterdam
    0.96
     Edinburgh
    0.94
     Cambridge
    0.91
     Zurich
    0.89
     Lyon
    0.89
     London
    0.86
     Tokyo
    0.86
     Oslo
    0.85
     Buenos
    0.85
    Activations Density 0.040%

    No Known Activations