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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. 7-RES-JB
    11. 19454
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    Explanations

    phrases related to making decisions in the best interest of a group or entity

    oai_token-act-pair · gpt-3.5-turbo

    references to the best interests of people or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Proxy
    -0.70
    aded
    -0.67
    cum
    -0.65
     minus
    -0.63
    gap
    -0.63
     Edited
    -0.61
     prominently
    -0.61
    jong
    -0.60
    yang
    -0.59
    ading
    -0.59
    POSITIVE LOGITS
     livelihood
    1.06
     taxpayers
    1.03
     sake
    0.93
     integrity
    0.92
     wellbeing
    0.91
     sensibilities
    0.90
     humankind
    0.89
     dignity
    0.87
    payers
    0.87
     taxp
    0.85
    Activations Density 0.569%

    No Known Activations