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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. 23464
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    Explanations

    words related to technology, specifically referencing technology names and terms like "Micronesia."

    oai_token-act-pair · gpt-3.5-turbo

    references to "Micron" and associated derivatives, particularly in a technical or product context

    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
    tenance
    -0.66
    20439
    -0.66
     Spectre
    -0.66
    ACTED
    -0.66
    istically
    -0.65
    DragonMagazine
    -0.64
    ĪĴ
    -0.63
    ãģĤ
    -0.63
    Interstitial
    -0.62
    ãģĮ
    -0.62
    POSITIVE LOGITS
    onductor
    1.03
    HAEL
    1.03
    onduct
    0.90
    ropolitan
    0.89
    olon
    0.89
    achu
    0.89
    rones
    0.88
    plates
    0.84
    ron
    0.83
    oleon
    0.82
    Activations Density 0.023%

    No Known Activations