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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. 9-RES-JB
    6. 11526
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    Explanations

    phrases related to the concept of depth or intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to depth or profoundness in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çīĪ
    -0.85
     vouchers
    -0.73
     Rica
    -0.73
     Shutterstock
    -0.69
     vandalism
    -0.69
    PsyNetMessage
    -0.67
     Creator
    -0.65
    FactoryReloaded
    -0.65
     delinqu
    -0.64
    ulhu
    -0.63
    POSITIVE LOGITS
    skinned
    1.28
    haired
    1.24
    eyed
    1.23
    footed
    1.18
    sounding
    1.18
    bodied
    1.17
    handed
    1.07
    headed
    1.06
    enough
    1.06
    angled
    1.04
    Activations Density 0.063%

    No Known Activations