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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. 9-RES-JB
    11. 23438
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    Explanations

    phrases related to construction or development

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of building or construction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    my
    -0.73
    kov
    -0.71
    zee
    -0.70
    present
    -0.68
    tm
    -0.67
    Published
    -0.65
    nery
    -0.64
    dos
    -0.64
    oko
    -0.64
    uel
    -0.64
    POSITIVE LOGITS
     bridges
    1.09
     Bridges
    1.06
     rapport
    0.99
     trust
    0.90
     relationships
    0.87
     suspense
    0.87
     momentum
    0.86
     partnerships
    0.82
     prototypes
    0.80
     alliances
    0.80
    Activations Density 0.059%

    No Known Activations