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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
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    Explanations

    references to the year "2016"

    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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    bor
    -0.78
    bors
    -0.69
    abilia
    -0.68
    aith
    -0.67
     bip
    -0.65
    angs
    -0.65
     exha
    -0.65
     thous
    -0.65
    imen
    -0.64
     ape
    -0.64
    POSITIVE LOGITS
    20439
    1.02
    å¹
    0.93
     2016
    0.82
     Countdown
    0.79
    âĢ²
    0.78
     Campaign
    0.76
     2017
    0.75
    2016
    0.75
     Odyssey
    0.75
    peak
    0.72
    Activations Density 0.050%

    No Known Activations