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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10100
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to complex systems, classifications, and various forms of media and regulation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dialogue
    -0.69
    VERTISEMENT
    -0.67
    selves
    -0.67
    ukong
    -0.66
    natureconservancy
    -0.63
     Malf
    -0.61
     Curiosity
    -0.60
    utra
    -0.60
    =-=-=-=-
    -0.59
     Shutterstock
    -0.59
    POSITIVE LOGITS
    -
    0.71
     boarding
    0.66
     ray
    0.65
     polymer
    0.63
    film
    0.61
     aircraft
    0.60
    âĢij
    0.59
     grade
    0.59
    -,
    0.59
    branded
    0.59
    Activations Density 0.749%

    No Known Activations