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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. 4-RES-JB
    6. 23241
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to social justice issues

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

    No Comments

    Negative Logits
    =-=-
    -0.21
    utterstock
    -0.20
    quickShipAvailable
    -0.18
    bsp
    -0.18
    omorphic
    -0.18
     href
    -0.17
    sheets
    -0.17
    umerable
    -0.17
    catentry
    -0.17
     sidx
    -0.17
    POSITIVE LOGITS
    ĺħ
    0.18
    zbek
    0.17
     Zoro
    0.17
    ouver
    0.16
    ĻĤ
    0.15
    Ͻ
    0.15
    yne
    0.15
     Alger
    0.15
     Depths
    0.15
     Fur
    0.15
    Activations Density 9.409%

    No Known Activations