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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. 23737
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    Explanations

    phrases related to time

    oai_token-act-pair · gpt-3.5-turbo

    references to time-related phrases and durations

    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
     encoding
    -0.53
     Background
    -0.51
     Lines
    -0.48
     Highlights
    -0.47
    perse
    -0.46
    oria
    -0.45
     Anime
    -0.45
     Listen
    -0.45
     Paste
    -0.45
    )--
    -0.45
    POSITIVE LOGITS
    fo
    0.63
    til
    0.62
    etheless
    0.62
     outwe
    0.60
    aturday
    0.58
    cause
    0.55
    nih
    0.54
    ilaterally
    0.53
    });
    0.53
    ]);
    0.51
    Activations Density 1.589%

    No Known Activations