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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. 17327
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    INDEX
    Explanations

    names of hotels or museums

    oai_token-act-pair · gpt-3.5-turbo

    references to hotels and museums

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ought
    -0.74
    outed
    -0.72
     sheet
    -0.70
     literacy
    -0.67
    arian
    -0.66
    eded
    -0.66
     haste
    -0.64
     aspiring
    -0.64
     foster
    -0.63
     predetermined
    -0.62
    POSITIVE LOGITS
     Hotel
    1.11
     Plaza
    1.08
     Room
    1.06
     Club
    1.06
     Group
    1.05
     District
    1.05
     Orchestra
    1.04
     Association
    1.04
     Simulator
    1.03
     Trust
    1.01
    Activations Density 0.085%

    No Known Activations