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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. 9017
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    Explanations

    statistics and numbers

    oai_token-act-pair · gpt-3.5-turbo

    statistical data and numerical information related to events and occurrences

    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
    .�
    -1.09
    .).
    -0.90
    .]
    -0.90
     [&
    -0.89
    .--
    -0.87
    ADVERTISEMENT
    -0.86
    .</
    -0.85
    .?
    -0.84
    .}
    -0.83
    .(
    -0.82
    POSITIVE LOGITS
     recognise
    1.20
     recognised
    1.16
     ageing
    1.16
     Nato
    1.15
     realise
    1.14
     apologise
    1.08
     organise
    1.06
     organising
    1.05
     realised
    1.05
     emphas
    1.04
    Activations Density 2.106%

    No Known Activations