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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. 6-RES-JB
    6. 21872
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    Explanations

    financial terms

    oai_token-act-pair · gpt-3.5-turbo

    references to financial organizations and regulatory bodies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gors
    -0.71
    atural
    -0.69
     guard
    -0.68
    ËĪ
    -0.66
    auts
    -0.65
    acity
    -0.65
    @@@@@@@@
    -0.65
    oppable
    -0.64
    rawdownloadcloneembedreportprint
    -0.64
    aciously
    -0.63
    POSITIVE LOGITS
    incinn
    0.89
    rosis
    0.86
    erate
    0.85
    rals
    0.81
    roups
    0.79
    rates
    0.78
    ritical
    0.77
    ertility
    0.77
    rowth
    0.74
    entanyl
    0.74
    Activations Density 0.032%

    No Known Activations