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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. 113
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    INDEX
    Explanations

    phrases indicating hopes or requests

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hope and encouragement

    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
    esp
    -0.70
     versus
    -0.67
    UFF
    -0.65
    soever
    -0.62
    ties
    -0.61
     duties
    -0.60
     claimed
    -0.60
     supposedly
    -0.60
     (âĪĴ
    -0.58
    ths
    -0.57
    POSITIVE LOGITS
     someday
    1.09
    izons
    0.71
     Adin
    0.70
    reci
    0.69
     somew
    0.68
    itivity
    0.66
    rint
    0.63
    rine
    0.63
    atform
    0.63
    NA
    0.62
    Activations Density 0.354%

    No Known Activations