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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. 7-RES-JB
    11. 24555
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    Explanations

    phrases related to the concept of "multi-" such as multi-year, multi-state, multi-armed, and multi-billion

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to multi-year contracts or agreements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IONS
    -0.72
    UTION
    -0.71
     Curve
    -0.70
    */(
    -0.69
     CPC
    -0.68
     Bauer
    -0.68
     Gors
    -0.67
     Wonderland
    -0.65
    LY
    -0.65
     Butcher
    -0.65
    POSITIVE LOGITS
    ples
    1.22
    employ
    0.91
    absor
    0.90
    player
    0.89
    ply
    0.88
    icult
    0.88
    standard
    0.88
    platform
    0.87
    cro
    0.87
    atomic
    0.86
    Activations Density 0.019%

    No Known Activations