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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. 14087
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    Explanations

    references to friends or companions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of friends or friendships

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    cale
    -0.74
    tarians
    -0.73
     chloride
    -0.72
    overe
    -0.70
    senal
    -0.68
    aeda
    -0.65
     ceilings
    -0.65
     millenn
    -0.63
    elsius
    -0.61
    anche
    -0.60
    POSITIVE LOGITS
    liness
    1.43
    lier
    1.38
    liest
    1.36
    lies
    1.33
    ship
    0.91
    ships
    0.86
    onym
    0.82
    finder
    0.81
    hesis
    0.80
    nee
    0.79
    Activations Density 0.032%

    No Known Activations