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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. 10-RES-JB
    6. 9634
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    Explanations

    mentions of names starting with "Kat" followed by a combination of different characters

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Kat" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     relations
    -0.70
     matter
    -0.63
    cill
    -0.62
    ENCE
    -0.61
     intertw
    -0.60
     Relations
    -0.60
     contraceptives
    -0.59
    ENSE
    -0.59
    GBT
    -0.59
    cffff
    -0.59
    POSITIVE LOGITS
    rina
    1.27
    apult
    1.08
    usha
    1.03
    anas
    1.02
    apesh
    1.02
    mand
    0.97
    rine
    0.96
    Kat
    0.93
    kat
    0.92
    inka
    0.92
    Activations Density 0.027%

    No Known Activations