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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. 4-RES-JB
    11. 13563
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    Explanations

    phrases related to government agencies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to organizations and entities involved in regulatory contexts

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

    No Comments

    Negative Logits
    fell
    -0.78
    alties
    -0.76
    ces
    -0.74
     Fasc
    -0.69
    ãģ®å
    -0.68
     Habit
    -0.68
    pha
    -0.67
    iza
    -0.67
    ests
    -0.67
    vation
    -0.66
    POSITIVE LOGITS
    layer
    0.87
    opher
    0.79
     clipboard
    0.77
    erald
    0.76
    luster
    0.75
     CPC
    0.75
    omez
    0.75
    hire
    0.75
     Whitman
    0.73
     loader
    0.71
    Activations Density 0.021%

    No Known Activations