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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. 9-RES-JB
    6. 15620
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    Explanations

    names of individuals, likely related to a specific context or scenario

    oai_token-act-pair · gpt-3.5-turbo

    specific names or terms associated with various entities, possibly related to locations, people, or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Calder
    -0.71
     Clover
    -0.68
    enegger
    -0.63
     pim
    -0.59
     Reboot
    -0.58
     endowed
    -0.58
     sterling
    -0.57
     silent
    -0.55
     imperative
    -0.55
    BILITY
    -0.54
    POSITIVE LOGITS
    atoon
    0.91
    ecast
    0.87
    adic
    0.84
    pta
    0.83
    inx
    0.80
    atchewan
    0.78
    omore
    0.78
    oslav
    0.78
    oku
    0.77
    iman
    0.76
    Activations Density 0.124%

    No Known Activations