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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. 9-RES-JB
    6. 11564
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    Explanations

    terms related to being ignored or disregarded in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ignore" and its variations, indicating neglect or dismissal of issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isher
    -0.76
    uster
    -0.72
    seed
    -0.72
    gans
    -0.70
    ernels
    -0.69
    iov
    -0.69
    ood
    -0.69
    lee
    -0.68
    amen
    -0.67
    gins
    -0.67
    POSITIVE LOGITS
     warnings
    1.06
     pleas
    0.95
     cues
    0.85
     altogether
    0.81
     inconvenient
    0.81
    illy
    0.75
     objections
    0.74
     complaints
    0.73
     responsibility
    0.72
     repeated
    0.68
    Activations Density 0.060%

    No Known Activations