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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. 17995
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    INDEX
    Explanations

    positive words or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    words related to positivity and positive sentiment

    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
    loo
    -0.90
    HAEL
    -0.77
    tracks
    -0.72
    æĸ¹
    -0.71
     Brilliant
    -0.71
    stall
    -0.70
    ONEY
    -0.68
    Leod
    -0.68
    croft
    -0.64
    OPS
    -0.64
    POSITIVE LOGITS
    itional
    1.33
    itivity
    1.17
    itions
    1.15
    itory
    1.05
    idon
    1.03
    itor
    0.99
    essions
    0.98
    ited
    0.96
    itives
    0.96
    ession
    0.92
    Activations Density 0.028%

    No Known Activations