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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. 11700
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    INDEX
    Explanations

    dates represented in the month and day format

    oai_token-act-pair · gpt-3.5-turbo

    dates, specifically those in February

    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
    eteria
    -0.69
    opic
    -0.63
     behavi
    -0.62
    ioch
    -0.60
    alach
    -0.60
    achu
    -0.60
    pi
    -0.58
     cumbers
    -0.58
    oeuv
    -0.57
     juggling
    -0.57
    POSITIVE LOGITS
    nd
    1.19
     Madness
    0.96
     2019
    0.91
     2017
    0.89
    ality
    0.85
     2016
    0.84
     2015
    0.83
     2014
    0.81
     2021
    0.80
     2018
    0.80
    Activations Density 0.023%

    No Known Activations