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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. 5-RES-JB
    6. 19541
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    Explanations

    adverbs expressing a strong degree, especially those related to opinions or perspectives

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that indicate a degree of certainty or description

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    psons
    -0.76
    elsen
    -0.70
    arta
    -0.66
     doorway
    -0.66
    rule
    -0.65
    ests
    -0.63
     succession
    -0.63
    pez
    -0.62
     Liang
    -0.61
     shipment
    -0.61
    POSITIVE LOGITS
     unpleasant
    0.76
     disple
    0.74
    interesting
    0.74
    ModLoader
    0.72
    aste
    0.70
    odox
    0.69
     accommod
    0.68
     favourable
    0.66
    ô
    0.65
     nil
    0.65
    Activations Density 0.034%

    No Known Activations