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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. 2-RES-JB
    11. 4119
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    Keywords related to high definition (HD) technology

    oai_token-act-pair · gpt-3.5-turbo

    references to high-definition (HD) technology or content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĤ±
    -0.92
    âĸĪâĸĪ
    -0.85
    ãĥĦ
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    notations
    -0.81
    glers
    -0.79
    kers
    -0.79
    terday
    -0.77
    âĸĪ
    -0.77
    ãĥ£
    -0.77
    xual
    -0.75
    POSITIVE LOGITS
    PE
    0.97
    HR
    0.92
    FP
    0.85
     HD
    0.85
    NF
    0.83
    CP
    0.82
    ouble
    0.82
    TV
    0.82
    Ds
    0.82
    FY
    0.76
    Activations Density 0.006%

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