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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. 6-RES-JB
    11. 7683
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of embedding or integration within a community, especially in a technological or narrative context

    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
     dime
    -0.85
    ibrary
    -0.68
     trivia
    -0.67
     corners
    -0.67
     nickel
    -0.64
     Celebrity
    -0.64
     stool
    -0.62
     capsules
    -0.62
     scraps
    -0.61
     iodine
    -0.61
    POSITIVE LOGITS
    enment
    0.98
    furt
    0.95
    ulty
    0.80
    fitting
    0.79
    Allah
    0.78
    lish
    0.77
    assment
    0.76
    ishment
    0.76
    rill
    0.75
    nown
    0.73
    Activations Density 0.930%

    No Known Activations