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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. 8-RES-JB
    11. 17807
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    Explanations

    phrases related to specifying a proportion or contribution of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify contributions or proportions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ires
    -0.64
     fatig
    -0.63
    iphany
    -0.63
    lings
    -0.59
     comr
    -0.58
    ratulations
    -0.58
    æ³
    -0.57
     comrades
    -0.56
    RIP
    -0.56
    quickShipAvailable
    -0.55
    POSITIVE LOGITS
    %%
    0.84
     Flavoring
    0.83
     worldwide
    0.74
     brunt
    0.73
    ibrary
    0.70
     GDP
    0.69
     chunk
    0.67
     entirety
    0.67
    illac
    0.67
     (%
    0.66
    Activations Density 0.166%

    No Known Activations