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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. 8-RES-JB
    11. 17062
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acts
    -0.70
    ctors
    -0.66
    ASED
    -0.64
    ggle
    -0.63
    lance
    -0.63
    SIGN
    -0.62
    ghai
    -0.62
    cers
    -0.62
    atical
    -0.60
    ãĥĥãĤ¯
    -0.59
    POSITIVE LOGITS
    mith
    1.53
    '
    1.41
    hips
    1.36
    hip
    1.36
    ullivan
    1.34
    pring
    1.27
    kaya
    1.25
    hirt
    1.25
    peed
    1.24
    chool
    1.23
    Activations Density 0.271%

    No Known Activations