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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. 0-RES-JB
    11. 465
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    Explanations

    phrases related to messages or messengers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Mess" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ranger
    -0.85
     pokemon
    -0.77
     bunny
    -0.71
     evaluates
    -0.70
    ļ
    -0.70
     biking
    -0.70
    ERAL
    -0.68
     tar
    -0.68
    FactoryReloaded
    -0.67
     braces
    -0.66
    POSITIVE LOGITS
     Mess
    3.41
    Mess
    2.28
    mess
    1.48
     Foley
    1.31
    roud
    1.27
     Mü
    1.10
     Messenger
    1.08
     Sicily
    1.04
     Mes
    0.98
    pora
    0.97
    Activations Density 0.030%

    No Known Activations