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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. 22420
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    INDEX
    Explanations

    mentions of raccoons

    oai_token-act-pair · gpt-3.5-turbo

    references to racism

    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
     Fargo
    -0.76
     Ceres
    -0.70
     Kush
    -0.70
     Hawaiian
    -0.69
     CPC
    -0.66
    è£ħ
    -0.64
     Dictionary
    -0.64
     Ames
    -0.64
    ITNESS
    -0.63
     meaning
    -0.63
    POSITIVE LOGITS
    quet
    1.41
    coon
    1.28
    etr
    1.18
    het
    1.15
    ework
    1.10
    quel
    1.03
    oust
    1.02
    hett
    1.02
    kees
    1.01
    eway
    1.01
    Activations Density 0.013%

    No Known Activations