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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. 374
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to official or legal frameworks

    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
    sama
    -0.67
     tremend
    -0.62
     Beaver
    -0.62
     nuts
    -0.61
    BO
    -0.60
     Woodward
    -0.60
     nests
    -0.60
    Knight
    -0.60
     Onion
    -0.59
     goblins
    -0.58
    POSITIVE LOGITS
    itionally
    0.91
    essional
    0.88
    incial
    0.87
    unciation
    0.87
    hetic
    0.86
    aneous
    0.83
    onent
    0.83
    inent
    0.81
    aturally
    0.78
    vernment
    0.78
    Activations Density 0.145%

    No Known Activations