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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. 9825
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    Explanations

    words related to selling or transfer of goods/services

    oai_token-act-pair · gpt-3.5-turbo

    words related to reselling and conveying information

    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
    ERAL
    -0.73
    ocene
    -0.72
     Nadu
    -0.68
     Keeper
    -0.68
    omez
    -0.67
    ucky
    -0.67
     Ashes
    -0.66
     Essex
    -0.63
     Aid
    -0.62
     Farmers
    -0.62
    POSITIVE LOGITS
    lling
    1.28
    llers
    1.22
    xual
    1.15
    ller
    1.13
    lled
    1.05
    cks
    1.05
    cible
    1.00
    perate
    0.96
    plet
    0.93
    ¶
    0.93
    Activations Density 0.021%

    No Known Activations