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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. 7530
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    Explanations

    names or fragments of names, especially those with a strong emphasis on the letter T

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names

    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
     STATS
    -0.70
     innocence
    -0.63
     sanct
    -0.63
     succession
    -0.61
     preservation
    -0.61
     VIDE
    -0.61
     sanity
    -0.60
     envelope
    -0.60
     attendant
    -0.59
     meditation
    -0.58
    POSITIVE LOGITS
    oshenko
    1.11
    edo
    1.00
    hiba
    0.87
    asury
    0.86
    nel
    0.85
    oval
    0.85
    arkin
    0.85
    emouth
    0.84
    ulhu
    0.84
    obl
    0.82
    Activations Density 0.126%

    No Known Activations