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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. 18004
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    Explanations

    terms related to names and titles

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and places

    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
     innocence
    -0.72
     welf
    -0.70
     temptation
    -0.66
     aristocracy
    -0.66
     knees
    -0.65
     moderation
    -0.64
     pasture
    -0.64
     linen
    -0.64
     camel
    -0.64
     millennium
    -0.64
    POSITIVE LOGITS
    INAL
    1.06
    ICT
    0.84
    ALLY
    0.80
    OY
    0.72
    oti
    0.72
    ãĥ¼ãĥ³
    0.71
    oxide
    0.70
    INO
    0.69
    xual
    0.69
    nels
    0.69
    Activations Density 0.114%

    No Known Activations