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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. 3-RES-JB
    11. 22831
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    Explanations

    phrases related to funding or financial contributions

    oai_token-act-pair · gpt-3.5-turbo

    references to financial contributions or funds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Absent
    -0.67
     Lod
    -0.67
    NetMessage
    -0.67
     Wand
    -0.67
    èª
    -0.66
     Halls
    -0.66
    Magikarp
    -0.66
    WithNo
    -0.66
     Nieto
    -0.65
     Ple
    -0.64
    POSITIVE LOGITS
    ament
    1.11
    fund
    1.06
    raising
    1.03
    aments
    0.98
    amental
    0.97
     fund
    0.87
     funds
    0.85
    folios
    0.84
     allocations
    0.84
    folio
    0.82
    Activations Density 0.010%

    No Known Activations