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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. 5-RES-JB
    6. 10335
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    INDEX
    Explanations

    phrases related to accumulation and increase

    oai_token-act-pair · gpt-3.5-turbo

    phrases or contexts related to growth or accumulation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ught
    -0.77
    hiro
    -0.72
    nor
    -0.68
    mens
    -0.66
    gee
    -0.64
    my
    -0.63
    pull
    -0.62
    grim
    -0.62
     pierced
    -0.62
    cut
    -0.61
    POSITIVE LOGITS
    river
    0.81
    dates
    0.79
    undown
    0.77
    react
    0.71
     friendships
    0.70
    amina
    0.70
     tents
    0.69
    ivism
    0.67
    grades
    0.66
     sleeves
    0.65
    Activations Density 0.039%

    No Known Activations