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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. 3-RES-JB
    11. 465
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    INDEX
    Explanations

    specific years

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2016

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imen
    -0.71
     cumbers
    -0.68
     plent
    -0.66
     tremend
    -0.66
     exha
    -0.65
     repro
    -0.65
     thous
    -0.62
    bor
    -0.62
     bip
    -0.62
     snipp
    -0.61
    POSITIVE LOGITS
    20439
    1.11
    å¹
    0.89
     2016
    0.83
    âĢ²
    0.79
     2017
    0.74
    2016
    0.74
     Countdown
    0.74
    2020
    0.73
    peak
    0.73
     2020
    0.73
    Activations Density 0.038%

    No Known Activations