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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. 9-RES-JB
    11. 13314
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    Explanations

    phrases related to jobs, activities, and technology

    oai_token-act-pair · gpt-3.5-turbo

    important nouns and descriptors related to specific situations and roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hess
    -0.61
     Forbidden
    -0.59
    uner
    -0.53
     Spit
    -0.52
     Spa
    -0.52
     Reloaded
    -0.51
     Sinn
    -0.51
    rogens
    -0.51
     Province
    -0.51
     Mirage
    -0.50
    POSITIVE LOGITS
    ï¸ı
    0.98
    etheless
    0.88
    ¯
    0.82
    ONSORED
    0.77
    ularity
    0.76
    ancial
    0.76
    ñ
    0.76
    ymes
    0.74
    ò
    0.73
    milo
    0.72
    Activations Density 0.561%

    No Known Activations