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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23505
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    Explanations

    years related to specific events or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years or dates

    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
    Not in Any Lists

    No Comments

    Negative Logits
    hed
    -0.83
     stead
    -0.81
    ess
    -0.80
    esses
    -0.72
    nels
    -0.71
    amber
    -0.70
    phy
    -0.67
    aden
    -0.65
    kell
    -0.65
    ambers
    -0.65
    POSITIVE LOGITS
    å¹
    1.26
    -'
    0.81
    â̲
    0.78
     vintage
    0.77
     edition
    0.73
     Nobel
    0.70
    UAL
    0.69
     Census
    0.68
     census
    0.67
    20439
    0.67
    Activations Density 0.126%

    No Known Activations