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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. 1-RES-JB
    11. 23018
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    Explanations

    references to crowdsourcing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to crowd-sourced information and content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dos
    -0.80
    ellen
    -0.80
    oola
    -0.74
    dies
    -0.73
    ibur
    -0.72
    dar
    -0.71
    cases
    -0.69
     Bowser
    -0.64
     crest
    -0.64
    levels
    -0.62
    POSITIVE LOGITS
    ourced
    1.46
     sourcing
    1.31
    ourcing
    1.28
     sourced
    1.11
    ources
    1.04
    source
    0.94
    ource
    0.93
    olate
    0.80
    OURCE
    0.79
    herer
    0.77
    Activations Density 0.012%

    No Known Activations