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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. 13491
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    Explanations

    phrases related to mastering or gaining expertise in a subject or field

    oai_token-act-pair · gpt-3.5-turbo

    references to mastery and expertise in various subjects or fields

    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
    installed
    -0.75
    bus
    -0.74
    anova
    -0.69
    friends
    -0.69
    SPONSORED
    -0.68
    Parents
    -0.67
    ermanent
    -0.67
    mates
    -0.67
    Gov
    -0.67
     accordingly
    -0.67
    POSITIVE LOGITS
     pursuit
    1.06
     technique
    0.92
     endeavor
    0.91
     basics
    0.91
     process
    0.88
     intric
    0.87
     mantle
    0.84
     latter
    0.83
     role
    0.83
     genre
    0.83
    Activations Density 0.403%

    No Known Activations