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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. 9-RES-JB
    6. 21855
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    keywords related to legal issues and charges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    llular
    -0.82
     metab
    -0.69
    products
    -0.69
     optimizing
    -0.67
     responsive
    -0.65
     TEXT
    -0.64
    amina
    -0.64
    )=(
    -0.63
    Content
    -0.63
    vec
    -0.63
    POSITIVE LOGITS
     consecut
    1.07
     previous
    0.99
     consecutive
    0.90
     longest
    0.86
     Twice
    0.86
     successive
    0.84
     twice
    0.83
     2009
    0.83
    liest
    0.82
     last
    0.82
    Activations Density 0.758%

    No Known Activations