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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 16008
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    Explanations

    phrases related to the concept of proving something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of proving something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phrine
    -0.67
     newsletters
    -0.66
     contrace
    -0.66
    artment
    -0.65
     squats
    -0.62
    letal
    -0.60
    ovie
    -0.59
    itching
    -0.59
    roman
    -0.59
    uyomi
    -0.59
    POSITIVE LOGITS
     proves
    0.79
    rers
    0.77
    reader
    0.77
     prove
    0.76
    iary
    0.74
    ãĥ¼ãĥĨ
    0.74
    \\\\\\\\
    0.73
     dispro
    0.72
    ELY
    0.70
    ¯¯
    0.70
    Activations Density 0.013%

    No Known Activations