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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. 1-RES-JB
    11. 13999
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    Explanations

    mentions of food items, names of dishes, and ingredients

    oai_token-act-pair · gpt-3.5-turbo

    references to food and culinary terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.52
     FedEx
    -0.51
    ĵĺ
    -0.48
     Aram
    -0.46
    photos
    -0.46
    SEE
    -0.46
    Reloaded
    -0.46
    cor
    -0.46
     âĢº
    -0.45
    -0.45
    POSITIVE LOGITS
    ebted
    0.53
    unia
    0.49
     condem
    0.46
    opted
    0.46
     awoken
    0.46
    ahime
    0.46
    igible
    0.46
     rul
    0.45
    ova
    0.44
     Sovere
    0.43
    Activations Density 5.180%

    No Known Activations