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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. 5-RES-JB
    6. 2286
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    INDEX
    Explanations

    words related to linguistic and morphological analysis

    oai_token-act-pair · gpt-3.5-turbo

    words and terms related to scientific and academic disciplines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Faster
    -0.77
    KEN
    -0.73
    ortium
    -0.73
    lain
    -0.72
    lua
    -0.70
    ãģ®éŃĶ
    -0.69
    UV
    -0.69
    IRD
    -0.69
     Leilan
    -0.65
     âĶľ
    -0.65
    POSITIVE LOGITS
    ities
    0.98
    ity
    0.97
     properties
    0.92
     warfare
    0.86
     attainment
    0.83
    ité
    0.81
    ALLY
    0.81
     superiority
    0.80
     prowess
    0.80
     qualities
    0.80
    Activations Density 0.082%

    No Known Activations