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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. 16898
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    INDEX
    Explanations

    phrases mentioning events or situations that attract significant public attention

    oai_token-act-pair · gpt-3.5-turbo

    mentions of newsworthy events or headlines

    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
    ework
    -0.76
     recip
    -0.68
    sis
    -0.67
    tein
    -0.65
    parent
    -0.63
    inite
    -0.62
    sim
    -0.60
    construct
    -0.59
    claimer
    -0.59
    optim
    -0.58
    POSITIVE LOGITS
     headlines
    0.91
    elight
    0.82
    rovers
    0.82
     internationally
    0.79
     notoriety
    0.79
    waves
    0.78
    icter
    0.78
     Cosponsors
    0.72
     domestically
    0.68
     Hebdo
    0.68
    Activations Density 0.110%

    No Known Activations