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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. 20277
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    INDEX
    Explanations

    instances where something is about to happen

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating impending events or actions

    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
     Compass
    -0.85
     Howe
    -0.68
     Monte
    -0.67
     perspective
    -0.65
     Perspective
    -0.65
     Explan
    -0.64
     Parables
    -0.63
     Blues
    -0.63
    didn
    -0.62
     Corpus
    -0.60
    POSITIVE LOGITS
     embark
    1.08
    NetMessage
    0.99
    pload
    0.91
     expire
    0.89
    pless
    0.89
     retire
    0.85
    atility
    0.82
     explode
    0.81
     deprive
    0.81
     unleash
    0.81
    Activations Density 0.041%

    No Known Activations