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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. 4-RES-JB
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    Explanations

    sentences ending in colons

    oai_token-act-pair · gpt-3.5-turbo

    phrases that present significant concerns or critical issues

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

    No Comments

    Negative Logits
    oud
    -0.71
     tremend
    -0.70
    zeb
    -0.68
    imon
    -0.67
    undai
    -0.67
    leased
    -0.66
    abulary
    -0.65
    ée
    -0.65
    iple
    -0.65
     troubles
    -0.65
    POSITIVE LOGITS
     namely
    1.04
     Provided
    0.79
     Whereas
    0.77
     Scores
    0.75
    articles
    0.72
    YES
    0.71
     Firstly
    0.70
     Why
    0.70
     Stories
    0.70
     Those
    0.69
    Activations Density 0.130%

    No Known Activations