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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. 901
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    Explanations

    words related to sudden or rapid actions or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "burst" and its variations, indicating sudden occurrences or outbursts

    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
    guyen
    -0.91
    ña
    -0.78
    ¥µ
    -0.76
    onsense
    -0.75
    ittee
    -0.75
    pport
    -0.71
    gemony
    -0.70
    folk
    -0.69
    avement
    -0.69
    ĻĤ
    -0.68
    POSITIVE LOGITS
     burst
    0.88
    aneously
    0.86
    burst
    0.83
     Burst
    0.83
    bang
    0.81
     bursting
    0.79
    waters
    0.78
    ember
    0.78
     bursts
    0.77
    ishly
    0.76
    Activations Density 0.016%

    No Known Activations