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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. 3-RES-JB
    11. 9055
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    INDEX
    Explanations

    mentions of poverty and economic disparity

    oai_token-act-pair · gpt-3.5-turbo

    references to poverty and impoverished conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocular
    -0.70
    calling
    -0.70
    bsp
    -0.69
    advertising
    -0.68
     Cthulhu
    -0.66
    OVA
    -0.65
    aterasu
    -0.65
    inct
    -0.64
    inventoryQuantity
    -0.63
    bara
    -0.63
    POSITIVE LOGITS
     citiz
    0.90
    lict
    0.84
     poorest
    0.83
     earners
    0.80
     subsistence
    0.79
     millenn
    0.78
    liction
    0.76
     poorer
    0.76
     peasants
    0.76
     toile
    0.75
    Activations Density 0.031%

    No Known Activations