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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. 10-RES-JB
    6. 4021
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    INDEX
    Explanations

    phrases indicating a high level of importance or value to something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating something significant is at risk or in jeopardy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.76
    selves
    -0.71
    marine
    -0.67
    ments
    -0.64
    comed
    -0.62
    cert
    -0.62
    period
    -0.62
    ĺ
    -0.61
     conditioned
    -0.60
    bite
    -0.59
    POSITIVE LOGITS
     stake
    1.43
    onement
    1.08
     hand
    1.00
     least
    0.93
     heart
    0.86
     risk
    0.84
    yp
    0.83
     odds
    0.82
    abase
    0.81
     play
    0.79
    Activations Density 0.071%

    No Known Activations