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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. 19109
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    INDEX
    Explanations

    statements made by government officials

    oai_token-act-pair · gpt-3.5-turbo

    statements expressing government accountability or responsibility

    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
     favors
    -0.83
     favored
    -0.78
     favor
    -0.78
    ADVERTISEMENT
    -0.75
     Honolulu
    -0.75
     Ortiz
    -0.75
    Los
    -0.75
     Bundy
    -0.74
     Texas
    -0.74
     Poe
    -0.74
    POSITIVE LOGITS
     realise
    1.44
     recognise
    1.40
     analyse
    1.22
     apologise
    1.17
     recognised
    1.17
     Ukip
    1.15
     apologised
    1.13
     organise
    1.11
     emphas
    1.11
     Whilst
    1.11
    Activations Density 1.422%

    No Known Activations