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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. 7-RES-JB
    11. 18825
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    Explanations

    proper nouns/significant names, specifically those related to the name "Field."

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or fields, particularly in a geographic or context-specific sense

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įåĸļ士
    -0.87
    ILA
    -0.84
    bian
    -0.83
    éĹĺ
    -0.71
    ailability
    -0.71
    TOP
    -0.70
    Lear
    -0.70
    nces
    -0.70
    Magikarp
    -0.69
    PROV
    -0.69
    POSITIVE LOGITS
    field
    0.80
     Marshal
    0.77
    ers
    0.75
    er
    0.75
    shire
    0.74
    ert
    0.74
    fields
    0.72
     Junction
    0.72
    hardt
    0.72
     Md
    0.67
    Activations Density 0.027%

    No Known Activations