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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. 13025
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    Explanations

    proper nouns related to global entities in different fields like politics, sports, and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical locations and proper nouns related to regions or entities

    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
     CLSID
    -0.61
    anwhile
    -0.56
    Discussion
    -0.49
    LESS
    -0.48
    zsche
    -0.48
    veyard
    -0.48
    ularity
    -0.48
    ibus
    -0.45
     Niet
    -0.44
    ãĥł
    -0.44
    POSITIVE LOGITS
    's
    0.51
    Leaks
    0.48
    igon
    0.46
    ÃŃs
    0.43
     brass
    0.43
    mania
    0.42
    PA
    0.42
     soil
    0.42
     Heights
    0.42
     millennials
    0.40
    Activations Density 0.860%

    No Known Activations