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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. 14091
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    Explanations

    words related to tall structures and buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of professions, particularly those related to entertainment and healthcare

    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
    nikov
    -0.79
    imil
    -0.75
    æ©
    -0.63
    ufact
    -0.62
     Garr
    -0.61
     unborn
    -0.59
    ndra
    -0.58
    FML
    -0.58
     transistor
    -0.57
    chwitz
    -0.57
    POSITIVE LOGITS
    hedon
    0.81
    mania
    0.67
    esis
    0.66
    hire
    0.65
    itiveness
    0.64
    community
    0.64
    aneously
    0.63
    ascus
    0.63
    ®,
    0.63
    ification
    0.62
    Activations Density 0.322%

    No Known Activations