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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. 8-RES-JB
    6. 19905
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    INDEX
    Explanations

    references to superlatives or extremes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "biggest" indicating significant or noteworthy events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ences
    -0.77
    heid
    -0.75
    ttes
    -0.75
    onto
    -0.72
    ious
    -0.71
    jad
    -0.71
    anism
    -0.71
    actions
    -0.70
    ENC
    -0.70
    isson
    -0.69
    POSITIVE LOGITS
    gest
    0.98
     culprit
    0.93
     obstacle
    0.90
     hurdle
    0.89
     chunk
    0.88
     misconception
    0.87
     bang
    0.87
     takeaway
    0.85
     proponent
    0.85
     prize
    0.82
    Activations Density 0.028%

    No Known Activations