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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. 1-RES-JB
    6. 24460
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    Explanations

    phrases related to accomplishments or achievements

    oai_token-act-pair · gpt-3.5-turbo

    words related to achieving goals or accomplishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sit
    -0.75
    bia
    -0.72
    hun
    -0.71
    bull
    -0.67
    uns
    -0.67
    uru
    -0.67
    ways
    -0.66
    hov
    -0.66
    eth
    -0.65
    bor
    -0.65
    POSITIVE LOGITS
     achieved
    1.19
     Seym
    1.00
     accomplished
    0.96
     attained
    0.93
     achieves
    0.82
     parity
    0.78
    ablishment
    0.76
     succeeded
    0.73
     Achieve
    0.72
    CLASSIFIED
    0.71
    Activations Density 0.012%

    No Known Activations