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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. 10-RES-JB
    6. 9676
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    INDEX
    Explanations

    high-ranking positions or status

    oai_token-act-pair · gpt-3.5-turbo

    references to "high" in various contexts, particularly in terms of status or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.82
    tnc
    -0.73
    velength
    -0.66
    vous
    -0.66
    unia
    -0.65
    undo
    -0.62
    uphem
    -0.61
    okemon
    -0.59
     Unlimited
    -0.58
    near
    -0.58
    POSITIVE LOGITS
    profile
    1.01
    brow
    0.99
     stakes
    0.98
    fal
    0.97
     profile
    0.96
    ranking
    0.95
     ranking
    0.92
    landers
    0.92
    rollers
    0.86
    stakes
    0.85
    Activations Density 0.077%

    No Known Activations