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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. 18454
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    quickShipAvailable
    -0.25
    =-=-
    -0.23
    quote
    -0.22
    omorphic
    -0.22
    ocre
    -0.22
    erity
    -0.21
    bsp
    -0.21
     sidx
    -0.21
    inges
    -0.21
    daq
    -0.21
    POSITIVE LOGITS
     Haz
    0.17
     Moss
    0.17
     Desert
    0.17
     embr
    0.17
     ethn
    0.16
     Gur
    0.16
     Zoro
    0.16
     Garrison
    0.16
     Hel
    0.16
     loads
    0.16
    Activations Density 9.096%

    No Known Activations