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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. 6111
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    Explanations

    proper nouns, potentially related to news articles or other text comprising of a mixture of letters and numbers

    oai_token-act-pair · gpt-3.5-turbo

    specific acronyms or abbreviations often related to organizations or government entities

    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
    hol
    -0.91
    fe
    -0.82
    iors
    -0.81
    itant
    -0.74
    aign
    -0.74
    omore
    -0.74
    ite
    -0.74
    gard
    -0.73
    hor
    -0.73
    auga
    -0.73
    POSITIVE LOGITS
    IRO
    1.66
     IMAGES
    1.30
    IRED
    1.29
    ION
    1.28
    ITAL
    1.27
    ORN
    1.25
    ELY
    1.20
    ECT
    1.19
    ATOR
    1.19
    IS
    1.18
    Activations Density 0.026%

    No Known Activations