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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. 10-RES-JB
    11. 7085
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    INDEX
    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    locations mentioned in relation to various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izo
    -0.87
    HTML
    -0.79
    HTTP
    -0.77
    PDF
    -0.77
    Owner
    -0.72
    HER
    -0.71
    Reply
    -0.70
    FTWARE
    -0.70
    archy
    -0.69
    git
    -0.69
    POSITIVE LOGITS
     airports
    1.27
     intersections
    1.13
     entrances
    1.09
     least
    1.04
     checkpoints
    1.02
     intervals
    1.02
     hotels
    1.01
     workplaces
    1.00
     residences
    1.00
     weddings
    1.00
    Activations Density 0.134%

    No Known Activations