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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. 21004
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    INDEX
    Explanations

    negatively connotated words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to competitive scenarios and sports

    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
    ĵĺ
    -0.84
    OST
    -0.74
    RAW
    -0.74
    APS
    -0.70
    olls
    -0.69
     nominate
    -0.67
    ij
    -0.65
    actionDate
    -0.64
    Letter
    -0.64
    pora
    -0.63
    POSITIVE LOGITS
     hybrid
    0.96
     syndrome
    0.95
     hybrids
    0.94
     mentality
    0.87
    '-
    0.85
    -
    0.85
    ned
    0.79
     extraord
    0.79
    -'
    0.79
     goodness
    0.76
    Activations Density 0.297%

    No Known Activations