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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. 8-RES-JB
    6. 18835
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of names and proper nouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •EggList

    No Comments

    Negative Logits
     bleach
    -0.85
     Bleach
    -0.73
    ¡
    -0.73
    207
    -0.72
    idth
    -0.67
    Ble
    -0.64
     Beckham
    -0.64
     Chevron
    -0.64
    ected
    -0.64
    OUP
    -0.63
    POSITIVE LOGITS
    m
    1.41
    M
    1.25
    mic
    1.13
    MI
    1.10
    mt
    1.10
    mill
    1.08
    mob
    1.07
    MN
    1.06
    mo
    1.06
    Ms
    1.05
    Activations Density 0.276%

    No Known Activations