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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. 10-RES-JB
    6. 20060
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    INDEX
    Explanations

    words related to aspirations and ambitions, especially those pertaining to achieving personal goals or fulfilling desires

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to aspirations and dreams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.72
     precaution
    -0.68
    WARN
    -0.68
     Affect
    -0.67
    lash
    -0.67
     Concern
    -0.66
     GOODMAN
    -0.66
    abus
    -0.66
    gap
    -0.66
    context
    -0.66
    POSITIVE LOGITS
     someday
    1.45
     immortality
    1.18
     greatness
    1.07
     dreams
    1.02
     becoming
    0.97
     limitless
    0.96
     futures
    0.94
     utopian
    0.93
     perfection
    0.93
     riches
    0.93
    Activations Density 0.202%

    No Known Activations