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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. 22472
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    Explanations

    keywords related to technology and settings

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to classification and categorization in various contexts

    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
    terday
    -1.04
    etheless
    -0.89
    itably
    -0.87
    anwhile
    -0.86
     compr
    -0.71
    gomery
    -0.69
     vain
    -0.69
    iannopoulos
    -0.68
     youthful
    -0.68
     republican
    -0.67
    POSITIVE LOGITS
     Mode
    1.10
     Manager
    1.07
     Selection
    1.05
     Breaker
    1.03
    Ship
    1.03
     Points
    1.02
     Room
    1.01
     Meter
    1.01
    Pass
    1.01
     Builder
    1.01
    Activations Density 0.406%

    No Known Activations