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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. 10520
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    INDEX
    Explanations

    references to superlatives or extremes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the highest levels or amounts of something

    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
    izon
    -0.70
    redo
    -0.70
    vous
    -0.68
    icer
    -0.65
    ca
    -0.65
    md
    -0.65
    agra
    -0.65
    opard
    -0.64
    TeX
    -0.64
    chini
    -0.63
    POSITIVE LOGITS
     bidder
    0.98
     rated
    0.89
     imaginable
    0.83
     pinnacle
    0.82
     concentrations
    0.82
     possible
    0.81
     earners
    0.81
     extent
    0.78
     conceivable
    0.77
     grade
    0.77
    Activations Density 0.022%

    No Known Activations