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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. 981
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    Explanations

    terms related to embedded systems

    oai_token-act-pair · gpt-3.5-turbo

    the term "embedded" and its variations in various contexts

    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
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    Negative Logits
    ãĥ£
    -0.86
    §
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     Sabha
    -0.78
    neg
    -0.75
    externalActionCode
    -0.75
    wagen
    -0.73
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    -0.71
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    -0.69
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    POSITIVE LOGITS
     embedded
    1.09
    edded
    0.93
    ding
    0.91
    ded
    0.89
     embed
    0.88
    embed
    0.78
    iated
    0.77
    HTML
    0.77
    ible
    0.74
    rained
    0.72
    Activations Density 0.027%

    No Known Activations