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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. 10-RES-JB
    11. 5616
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    Explanations

    phrases related to principles and values, often containing strong moral or ideological elements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference foundational principles or ideologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reau
    -0.83
    usercontent
    -0.82
    rums
    -0.78
    endars
    -0.76
    MpServer
    -0.74
    ãĤ¼ãĤ¦ãĤ¹
    -0.72
    ones
    -0.72
    scenes
    -0.71
    falls
    -0.71
    BILITIES
    -0.71
    POSITIVE LOGITS
     Marxism
    1.07
     deterrence
    0.96
     neutrality
    0.96
     communism
    0.95
     anarchism
    0.92
     liberalism
    0.91
     decency
    0.90
     Communism
    0.90
     capitalism
    0.88
     colonialism
    0.88
    Activations Density 0.181%

    No Known Activations