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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. 13229
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    Explanations

    proper nouns related to different locations and person names

    oai_token-act-pair · gpt-3.5-turbo

    components related to locations or geographical names

    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
    ukong
    -0.72
     encount
    -0.69
    geries
    -0.64
     convol
    -0.64
    accompan
    -0.61
    orsche
    -0.59
    event
    -0.59
    healthy
    -0.58
     reconc
    -0.58
     ende
    -0.58
    POSITIVE LOGITS
    Ì
    0.79
    ̶
    0.78
    ó
    0.78
    Ö¼
    0.78
    ÃĽ
    0.73
    uez
    0.73
    в
    0.72
    á
    0.72
    Í
    0.72
    etus
    0.72
    Activations Density 0.165%

    No Known Activations