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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. 9-RES-JB
    6. 576
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    Explanations

    movie or song titles

    oai_token-act-pair · gpt-3.5-turbo

    titles of songs or movies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    etheless
    -0.72
     estimating
    -0.65
    surprisingly
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     subdiv
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     pci
    -0.60
     assessing
    -0.60
     varied
    -0.59
     biomedical
    -0.59
     respondents
    -0.58
     specifying
    -0.58
    POSITIVE LOGITS
    ")
    1.85
    ").
    1.78
    "),
    1.72
    ",
    1.65
    %"
    1.64
    "]
    1.63
    "?
    1.63
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    1.62
    .")
    1.61
    "!
    1.61
    Activations Density 0.353%

    No Known Activations