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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 3790
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    Explanations

    phrases related to the concept of "the most" or "the best."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hominids and evolutionary biology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pestic
    -0.97
     horizont
    -0.74
    xtap
    -0.74
     phased
    -0.68
    SourceFile
    -0.65
     levers
    -0.65
     pse
    -0.64
     carrot
    -0.64
    Cola
    -0.63
     carrots
    -0.61
    POSITIVE LOGITS
    andise
    0.94
    stress
    0.80
    xual
    0.78
    inarily
    0.74
    ages
    0.71
    utic
    0.71
    terness
    0.68
    gow
    0.65
    ovie
    0.65
    buy
    0.64
    Activations Density 0.140%

    No Known Activations