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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. 7-RES-JB
    6. 15596
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    INDEX
    Explanations

    words related to recommendations or intentions

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with recommendations, plans, and predictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.79
    ertodd
    -0.79
    MENT
    -0.76
    Į
    -0.75
    erie
    -0.75
    OTO
    -0.74
    ntil
    -0.74
    kk
    -0.74
    oso
    -0.72
    mson
    -0.70
    POSITIVE LOGITS
     Parenthood
    0.90
     amount
    0.90
     timeframe
    0.81
     timeline
    0.80
     lifespan
    0.80
     path
    0.79
     outcome
    0.79
     timetable
    0.78
     number
    0.77
     duration
    0.76
    Activations Density 0.114%

    No Known Activations