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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. 12778
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    INDEX
    Explanations

    words related to habits and patterns

    oai_token-act-pair · gpt-3.5-turbo

    references to various habits and societal norms

    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
    MER
    -0.80
    bilt
    -0.68
    moon
    -0.64
    ded
    -0.64
    ESA
    -0.63
    plane
    -0.63
     NX
    -0.62
    onement
    -0.62
    jet
    -0.62
    ש
    -0.61
    POSITIVE LOGITS
    omething
    1.24
    ystem
    1.11
    uggest
    1.10
    cape
    1.09
    poons
    1.06
    hops
    1.05
    etter
    1.03
    hips
    1.02
    ettings
    1.01
    mith
    0.99
    Activations Density 0.173%

    No Known Activations