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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. 2-RES-JB
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    Explanations

    the name "Hawks"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Hawks, likely a sports team or organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afort
    -0.68
    UTION
    -0.67
    ATES
    -0.64
    QUI
    -0.63
    ggies
    -0.63
    ISTER
    -0.63
    и
    -0.63
    ãĥīãĥ©ãĤ´ãĥ³
    -0.62
    atican
    -0.61
    zzo
    -0.61
    POSITIVE LOGITS
     Hawks
    1.06
    haw
    1.02
    worth
    1.00
    men
    0.86
    layer
    0.86
    hawk
    0.85
    wings
    0.83
     Hots
    0.82
    matic
    0.81
    wich
    0.80
    Activations Density 0.006%

    No Known Activations