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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. 23080
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    Explanations

    phrases related to promotional activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific events or podcasts

    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
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    Negative Logits
    oufl
    -0.73
     camouflage
    -0.72
     suicides
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    assault
    -0.70
    ffect
    -0.67
    ²¾
    -0.67
    brance
    -0.66
     symbol
    -0.66
    ilitarian
    -0.65
     utilitarian
    -0.65
    POSITIVE LOGITS
    Episode
    1.33
     listener
    1.32
    podcast
    1.29
     Podcast
    1.26
     Episode
    1.25
     Topics
    1.24
    Guest
    1.23
     Guests
    1.17
     Tune
    1.16
     listeners
    1.14
    Activations Density 0.577%

    No Known Activations