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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. 4-RES-JB
    11. 4433
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    Explanations

    years expressed in four-digit format

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2012

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

    No Comments

    Negative Logits
    merce
    -0.81
    anooga
    -0.81
    imore
    -0.78
    avascript
    -0.77
    phy
    -0.76
    ï¸
    -0.74
    awed
    -0.74
    onite
    -0.74
     cumbers
    -0.72
     citiz
    -0.72
    POSITIVE LOGITS
    å¹
    0.87
     onwards
    0.77
    nd
    0.77
    -'
    0.72
    20439
    0.70
    cens
    0.70
    2020
    0.68
     Reincarn
    0.67
     Olympics
    0.65
    bard
    0.65
    Activations Density 0.020%

    No Known Activations