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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. 17990
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    INDEX
    Explanations

    phrases related to excellence

    oai_token-act-pair · gpt-3.5-turbo

    terms related to excellence and greatness

    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
    zee
    -0.70
    stock
    -0.66
    Sources
    -0.65
    Phones
    -0.64
    asel
    -0.63
    FACE
    -0.62
    cise
    -0.61
    leton
    -0.61
    nee
    -0.60
    ãĥİ
    -0.60
    POSITIVE LOGITS
     Excellence
    0.98
    cellence
    0.96
     excellence
    0.94
     greatness
    0.77
    rity
    0.74
     teamwork
    0.73
    illery
    0.71
    ful
    0.70
    efully
    0.70
     showc
    0.69
    Activations Density 0.017%

    No Known Activations