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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. 8-RES-JB
    11. 14295
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    Explanations

    phrases containing the word "and" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    repeated use of the conjunction "and" and related conjunctions in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     steroids
    -0.71
     pyramid
    -0.69
     Bac
    -0.67
     Rainbow
    -0.62
    heit
    -0.62
     Pyramid
    -0.61
     Ster
    -0.59
     Squid
    -0.59
     Cox
    -0.59
     Container
    -0.58
    POSITIVE LOGITS
    saw
    0.79
    feel
    0.79
     understand
    0.79
     hear
    0.77
     glimps
    0.77
     appreciated
    0.74
     ears
    0.72
    know
    0.72
     emulate
    0.72
     smelled
    0.71
    Activations Density 0.190%

    No Known Activations