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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. 11-RES-JB
    6. 9659
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    INDEX
    Explanations

    proper nouns related to politics and public figures

    oai_token-act-pair · gpt-3.5-turbo

    references to political figures and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     yearly
    -0.58
     anew
    -0.57
     annually
    -0.56
     forever
    -0.55
     perpetually
    -0.54
     ALWAYS
    -0.53
     every
    -0.53
    ennial
    -0.52
     routinely
    -0.52
     constantly
    -0.51
    POSITIVE LOGITS
    autions
    0.49
     defence
    0.46
     humour
    0.44
     colour
    0.43
     flavour
    0.43
    avour
    0.42
    ãģ¾
    0.42
     tyre
    0.42
    rounder
    0.42
     Sense
    0.40
    Activations Density 1.267%

    No Known Activations