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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. 17120
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    INDEX
    Explanations

    phrases related to medical conditions and hardship

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences of trauma and injustice

    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
     FCC
    -0.86
    NFL
    -0.80
     antitrust
    -0.77
     Rutherford
    -0.76
     scheduling
    -0.75
    Madison
    -0.74
     Deadpool
    -0.73
     FTC
    -0.73
     Canter
    -0.72
    nesota
    -0.72
    POSITIVE LOGITS
     Rohingya
    1.19
     UNHCR
    1.16
     villagers
    1.11
     Erit
    1.09
     Mub
    1.07
     Rohing
    1.03
     NGO
    1.00
     Kurd
    0.98
     Mahm
    0.93
     Bangl
    0.92
    Activations Density 0.869%

    No Known Activations