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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. 7-RES-JB
    6. 14920
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    INDEX
    Explanations

    explicit expressions of opinions or attitudes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express disregard or apathy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iba
    -0.72
    Ct
    -0.70
    ADE
    -0.65
    yrinth
    -0.64
    Link
    -0.63
    indle
    -0.63
    _-
    -0.62
    Downloadha
    -0.60
    amiya
    -0.59
    CHA
    -0.59
    POSITIVE LOGITS
     impression
    0.94
     advice
    0.75
     condolences
    0.75
     impetus
    0.74
     insight
    0.73
     indication
    0.70
    icum
    0.70
     nod
    0.69
     preferential
    0.69
     keynote
    0.69
    Activations Density 0.157%

    No Known Activations