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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. 2-RES-JB
    6. 1071
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    Explanations

    keywords related to a specific term, "Pre"

    oai_token-act-pair · gpt-3.5-turbo

    references to the prefix "Pre," indicating a focus on pre-existing conditions or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    loo
    -0.87
    ãĥīãĥ©ãĤ´ãĥ³
    -0.83
    owship
    -0.71
    IBLE
    -0.69
    adesh
    -0.67
    adia
    -0.67
    boat
    -0.66
     Isles
    -0.65
     Throne
    -0.64
    ibility
    -0.64
    POSITIVE LOGITS
    hend
    1.11
    requisite
    1.05
    cision
    1.03
    requisites
    1.03
    fect
    0.99
    req
    0.92
    fecture
    0.91
    hens
    0.86
    achy
    0.86
    zn
    0.85
    Activations Density 0.008%

    No Known Activations