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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. 4-RES-JB
    11. 1575
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    Explanations

    phrases related to buying or combining items into a package or a set

    oai_token-act-pair · gpt-3.5-turbo

    references to bundles or packages

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

    No Comments

    Negative Logits
    pez
    -0.79
    ilipp
    -0.76
    inel
    -0.75
    arro
    -0.71
    anto
    -0.71
    orgetown
    -0.69
    essee
    -0.67
    orio
    -0.65
    slow
    -0.65
    oric
    -0.64
    POSITIVE LOGITS
     bundle
    1.32
     bundles
    1.28
     bund
    1.11
    undle
    1.03
     Bundle
    0.94
     bundled
    0.92
    halla
    0.78
     Bund
    0.73
     packages
    0.71
     barg
    0.67
    Activations Density 0.011%

    No Known Activations