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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. 2629
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    Explanations

    phrases related to various actions and events happening within a community

    oai_token-act-pair · gpt-3.5-turbo

    instances of social media activity and related actions

    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
     secondly
    -0.88
    laughs
    -0.86
    )).
    -0.86
     Secondly
    -0.82
    âĶĢâĶĢâĶĢâĶĢ
    -0.81
     himself
    -0.77
    Secondly
    -0.76
    milo
    -0.74
    oslov
    -0.72
     Himself
    -0.71
    POSITIVE LOGITS
     opioid
    0.83
     sidewalks
    0.75
     embattled
    0.75
     wildfires
    0.74
     smartphones
    0.73
     payday
    0.73
     glimpse
    0.73
     Zika
    0.72
     collectively
    0.72
     fentanyl
    0.72
    Activations Density 0.985%

    No Known Activations