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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. 19879
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    Explanations

    mentions of political figures, particularly Prime Ministers

    oai_token-act-pair · gpt-3.5-turbo

    references to various Prime Ministers

    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
    MpServer
    -0.80
     needles
    -0.73
    crew
    -0.70
    ntax
    -0.69
    ĻĤ
    -0.67
    bleacher
    -0.63
    burning
    -0.63
     fingert
    -0.62
     inhibitors
    -0.61
    ttes
    -0.61
    POSITIVE LOGITS
     Shinzo
    1.21
     Narendra
    1.19
     Justin
    0.93
    ial
    0.92
     Stephen
    0.92
     Benjamin
    0.91
     Minister
    0.91
     Ministers
    0.89
     Theresa
    0.89
     Recep
    0.87
    Activations Density 0.036%

    No Known Activations