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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. 4251
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    Explanations

    terms related to business activities, such as acquisitions, appointments, rulings, and commitments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal or regulatory actions and processes

    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
    ress
    -0.72
    asus
    -0.64
    lich
    -0.63
    yss
    -0.61
    scape
    -0.59
    ded
    -0.59
    ned
    -0.58
    rip
    -0.58
    plane
    -0.56
    zi
    -0.54
    POSITIVE LOGITS
    uggest
    1.33
    ettings
    1.29
    poons
    1.24
    mith
    1.14
    hip
    1.14
    paces
    1.14
    hooting
    1.07
    ynthesis
    1.04
    omething
    1.03
    hips
    1.00
    Activations Density 0.284%

    No Known Activations