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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. 12150
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    INDEX
    Explanations

    phrases related to having an abundance or a sufficient amount of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize quantity or abundance

    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
    acus
    -0.93
    ESE
    -0.80
    most
    -0.79
    ĸļ
    -0.78
    ree
    -0.76
    ħĭ
    -0.75
    acle
    -0.73
    stal
    -0.73
    ²¾
    -0.73
    roth
    -0.72
    POSITIVE LOGITS
     opportunities
    1.09
     surprises
    0.97
     unanswered
    0.96
     anecdotal
    0.92
     examples
    0.91
     overlap
    0.89
     interesting
    0.89
     juicy
    0.88
     positives
    0.87
     excuses
    0.86
    Activations Density 0.064%

    No Known Activations