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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. 11-RES-JB
    11. 13505
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    INDEX
    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    commas in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exha
    -0.64
     corridors
    -0.62
    etheless
    -0.61
     planes
    -0.59
     conscientious
    -0.59
    zee
    -0.57
     pioneers
    -0.56
     rehe
    -0.56
     burying
    -0.56
     mushroom
    -0.55
    POSITIVE LOGITS
     2017
    1.57
     2016
    1.51
     2015
    1.51
     2014
    1.48
     2013
    1.40
     2012
    1.27
     2018
    1.24
    2017
    1.23
    2016
    1.22
    2015
    1.22
    Activations Density 0.032%

    No Known Activations