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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. 9-RES-JB
    11. 19823
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    Explanations

    locations or bases of organizations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating geographical locations and affiliations of organizations or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.90
    gans
    -0.80
    orians
    -0.80
     partisans
    -0.80
    umatic
    -0.79
     snowball
    -0.79
    cussion
    -0.73
     regress
    -0.73
    genre
    -0.72
    vation
    -0.70
    POSITIVE LOGITS
     Frankfurt
    1.14
     Bangalore
    1.11
     Luxembourg
    1.10
     Switzerland
    1.05
     Dubai
    1.05
     Geneva
    1.03
     Los
    1.01
     mainland
    1.00
     Silicon
    1.00
     Manhattan
    1.00
    Activations Density 0.226%

    No Known Activations