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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. 6490
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    Explanations

    words related to business entities, financial transactions, and economic terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to corporate and economic contexts

    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
    ASY
    -0.68
    sie
    -0.67
    elight
    -0.67
    ilogy
    -0.66
    aughs
    -0.66
    baum
    -0.64
    osate
    -0.64
    ANC
    -0.62
    apixel
    -0.61
     havoc
    -0.60
    POSITIVE LOGITS
     exceeding
    1.19
     originating
    1.19
     containing
    1.16
     purchased
    1.08
     belonging
    1.06
     requiring
    1.05
     totaling
    1.03
     involving
    1.01
     whose
    1.00
     exempted
    1.00
    Activations Density 0.322%

    No Known Activations