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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. 3-RES-JB
    11. 13548
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    Explanations

    dates written in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.70
     murd
    -0.68
    chwitz
    -0.68
    edom
    -0.66
    OGR
    -0.62
     predic
    -0.61
    oslav
    -0.60
     gobl
    -0.60
    matically
    -0.57
    natureconservancy
    -0.57
    POSITIVE LOGITS
    000
    0.91
     EDT
    0.84
     2018
    0.79
     2017
    0.78
     citing
    0.74
     2014
    0.73
     2016
    0.71
    048
    0.70
     000
    0.70
     2019
    0.69
    Activations Density 0.229%

    No Known Activations