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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. 5330
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    Explanations

    names of individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of individuals or entities

    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
    erella
    -0.66
    reviewed
    -0.63
    ateurs
    -0.61
    glers
    -0.60
    WT
    -0.60
    nesday
    -0.60
    anchester
    -0.59
    ruary
    -0.58
    called
    -0.57
     Egyptians
    -0.57
    POSITIVE LOGITS
    ibrary
    0.79
    ĪĴ
    0.74
     Pwr
    0.67
    adi
    0.65
     è£ıè
    0.65
    nih
    0.64
    intel
    0.64
    zu
    0.64
    fen
    0.61
    schild
    0.60
    Activations Density 0.886%

    No Known Activations