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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. 6-RES-JB
    6. 10034
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    INDEX
    Explanations

    phrases related to probability or likelihood

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating chances or probabilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minus
    -0.94
    idelines
    -0.78
    Reviewer
    -0.75
    entric
    -0.75
    hesis
    -0.72
    heid
    -0.71
    geist
    -0.70
    CSS
    -0.70
    hai
    -0.69
    ctors
    -0.69
    POSITIVE LOGITS
     obtaining
    0.99
     doom
    0.88
     dissu
    0.88
     someday
    0.87
     escaping
    0.83
     getting
    0.83
     achieving
    0.81
     encountering
    0.80
     acquiring
    0.78
     appe
    0.78
    Activations Density 0.086%

    No Known Activations