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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. 11-RES-JB
    6. 9631
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    INDEX
    Explanations

    a variety of different scenarios or possibilities described in the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to hypothetical or worst-case scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enfranch
    -0.80
    ances
    -0.76
    cipline
    -0.75
    inters
    -0.72
    ateurs
    -0.72
    vals
    -0.70
    aina
    -0.70
    roots
    -0.70
    algia
    -0.69
    obe
    -0.68
    POSITIVE LOGITS
     scenario
    1.60
     scenarios
    1.53
    enario
    1.04
     whereby
    0.96
     involving
    0.95
     unfolding
    0.95
     unfold
    0.94
     envis
    0.94
     wherein
    0.94
     envisioned
    0.93
    Activations Density 0.091%

    No Known Activations