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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. 1-RES-JB
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    Explanations

    words ending in "-inn"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "inn."

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     litter
    -0.67
     flies
    -0.62
     caution
    -0.61
     follow
    -0.61
     courses
    -0.60
    lled
    -0.60
    lling
    -0.59
     ration
    -0.59
     critically
    -0.58
     tracts
    -0.58
    POSITIVE LOGITS
    ipeg
    1.30
    inn
    1.25
    igans
    1.16
    ikuman
    1.15
    igan
    1.08
    ovation
    1.06
    umerable
    1.05
    uin
    0.97
    athan
    0.93
    ipedia
    0.93
    Activations Density 0.005%

    No Known Activations