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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. 6-RES-JB
    6. 15701
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    Explanations

    phrases related to a specific entity named "Ho"

    oai_token-act-pair · gpt-3.5-turbo

    references to a character or entity named 'Ho'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     confir
    -0.81
     totality
    -0.79
    */(
    -0.76
     CPC
    -0.69
     agre
    -0.67
     mileage
    -0.67
    omething
    -0.67
     simul
    -0.65
     anesthesia
    -0.65
     CTR
    -0.64
    POSITIVE LOGITS
    pper
    1.11
    ppy
    1.08
    gey
    1.07
    oney
    1.07
    arding
    1.06
    LLOW
    1.05
    pping
    0.99
    oper
    0.97
    jo
    0.96
    Ho
    0.96
    Activations Density 0.016%

    No Known Activations