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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. 14350
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    Explanations

    references to a time period before the current one

    oai_token-act-pair · gpt-3.5-turbo

    references to past events or time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

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    Explanation Uploaded by User
    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
    lees
    -0.80
    umes
    -0.75
    icles
    -0.74
    lee
    -0.72
    icle
    -0.71
    olor
    -0.70
    rosso
    -0.69
    mel
    -0.69
    acus
    -0.68
    blind
    -0.67
    POSITIVE LOGITS
     decade
    1.01
     incarnation
    0.91
    vernment
    0.90
     occupant
    0.88
     generation
    0.88
     batch
    0.86
     year
    0.84
     millennium
    0.83
     month
    0.81
     week
    0.80
    Activations Density 0.061%

    No Known Activations