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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. 9450
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    INDEX
    Explanations

    words related to objects or concepts with significant symbolism

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of series, locations, and organizations

    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
    etheless
    -0.84
    anwhile
    -0.73
    Downloadha
    -0.68
    gettable
    -0.68
     trough
    -0.68
    arnaev
    -0.67
     cleaned
    -0.64
    nces
    -0.62
     bandwagon
    -0.61
     ensu
    -0.59
    POSITIVE LOGITS
    amer
    0.72
    arth
    0.71
    ihilation
    0.70
     Past
    0.70
    minster
    0.68
    irc
    0.67
    areth
    0.67
    ortality
    0.65
    equality
    0.64
    endor
    0.64
    Activations Density 0.224%

    No Known Activations