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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. 12-RES-JB
    6. 7001
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    INDEX
    Explanations

    time-related terms, particularly durations like 'weeks', 'months', and 'years'

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to specific time periods or durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oux
    -0.75
    rone
    -0.75
    onis
    -0.70
    alian
    -0.70
    rongh
    -0.69
    ropolitan
    -0.69
    inav
    -0.68
    ibrary
    -0.67
    tenance
    -0.67
    ynasty
    -0.63
    POSITIVE LOGITS
     preceding
    1.22
     leading
    1.19
     following
    1.01
     ahead
    1.00
     since
    0.95
     immediately
    0.94
     ensuing
    0.92
     prior
    0.91
     surrounding
    0.88
     succeeding
    0.84
    Activations Density 0.098%

    No Known Activations