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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. 23043
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    Explanations

    words related to importance, impact, existence, extent, and role

    oai_token-act-pair · gpt-3.5-turbo

    references to significant issues and the extent of their impact

    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
    arna
    -0.80
    ANA
    -0.68
    INA
    -0.67
    ETA
    -0.67
    adish
    -0.66
    inka
    -0.65
    itches
    -0.63
    MpServer
    -0.62
    yne
    -0.62
    JP
    -0.61
    POSITIVE LOGITS
     extent
    0.80
     validity
    0.75
     dangers
    0.71
     lex
    0.70
     viability
    0.70
     inherent
    0.69
     unfolding
    0.69
     evolution
    0.69
     ramifications
    0.67
     nature
    0.66
    Activations Density 0.356%

    No Known Activations