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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. 19410
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    Explanations

    words related to conflict or disagreement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to affirmation or support

    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
    externalActionCode
    -0.84
    DragonMagazine
    -0.79
    assetsadobe
    -0.70
    BOOK
    -0.69
    BuyableInstoreAndOnline
    -0.69
    SpaceEngineers
    -0.68
    OPLE
    -0.66
    ppo
    -0.66
    STD
    -0.64
    GER
    -0.64
    POSITIVE LOGITS
    irming
    1.15
    luence
    1.08
    ront
    1.08
    liction
    1.03
    aff
    1.00
    irmed
    0.97
    semb
    0.97
    ording
    0.97
    irms
    0.92
    onso
    0.90
    Activations Density 0.013%

    No Known Activations