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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. 3198
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    INDEX
    Explanations

    names concerning events or actions with a significant impact

    oai_token-act-pair · gpt-3.5-turbo

    themes related to emotional and personal experiences

    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
     overshadowed
    -0.59
     Argon
    -0.59
    ighed
    -0.59
    iary
    -0.58
     coinc
    -0.58
     Bigfoot
    -0.58
    iated
    -0.56
     Wasserman
    -0.55
     Caucas
    -0.55
    built
    -0.54
    POSITIVE LOGITS
     Allows
    0.88
     Improve
    0.88
     automate
    0.87
     notify
    0.84
     Reduce
    0.84
    activate
    0.83
     activate
    0.83
     earn
    0.81
     simplify
    0.80
     choose
    0.79
    Activations Density 0.558%

    No Known Activations