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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 22637
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    INDEX
    Explanations

    words related to problems, issues, and challenges tackled in various settings

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating problems or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    robe
    -0.80
    chel
    -0.76
    rug
    -0.75
    throp
    -0.75
    onga
    -0.74
    oad
    -0.73
    amins
    -0.71
     salute
    -0.71
    aunder
    -0.71
    RAY
    -0.69
    POSITIVE LOGITS
     plag
    0.96
     unresolved
    0.91
     arising
    0.88
     worsened
    0.82
     arise
    0.81
     escalated
    0.77
     exacerbated
    0.75
     Watergate
    0.75
     aggravated
    0.73
     Fowler
    0.73
    Activations Density 0.368%

    No Known Activations