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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. 4-RES-JB
    11. 10046
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    Explanations

    doctor names and related information

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations or entities, particularly in a political or social context

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

    No Comments

    Negative Logits
     scrap
    -0.79
     hed
    -0.69
    uca
    -0.68
     plunge
    -0.67
     purs
    -0.67
     undet
    -0.66
     cut
    -0.66
     detract
    -0.66
     moderators
    -0.63
     dissu
    -0.63
    POSITIVE LOGITS
    SPONSORED
    0.99
    Meanwhile
    0.98
    KEN
    0.96
    Born
    0.95
    Together
    0.95
    ³³³³
    0.95
    ³³³³³³³³³³³³³³³³
    0.95
    Also
    0.92
    Similarly
    0.90
    Among
    0.90
    Activations Density 1.027%

    No Known Activations