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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. 3119
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    INDEX
    Explanations

    mentions or discussions of screen resolution specifications

    oai_token-act-pair · gpt-3.5-turbo

    references to specific video resolutions

    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
    hammad
    -0.76
    eering
    -0.72
    atory
    -0.68
    uana
    -0.67
     administering
    -0.66
    achi
    -0.66
    leton
    -0.66
    notation
    -0.65
    eki
    -0.64
     synd
    -0.64
    POSITIVE LOGITS
     ILCS
    1.08
     CTR
    0.84
    eenth
    0.81
    1080
    0.80
     CLIENT
    0.80
     1080
    0.79
     Gems
    0.79
     pixels
    0.78
    IELD
    0.77
     Remastered
    0.76
    Activations Density 0.016%

    No Known Activations