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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. 0-RES-JB
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    Explanations

    references to large carnivores

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with large herbivorous animals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ZA
    -0.66
     sym
    -0.63
     teaser
    -0.62
     subway
    -0.62
     dashboard
    -0.60
     registration
    -0.59
     Jab
    -0.59
     pigeon
    -0.59
     departure
    -0.58
     Banking
    -0.58
    POSITIVE LOGITS
    ores
    4.75
    ore
    2.43
    ORE
    2.22
    ored
    2.00
    oring
    1.92
    orous
    1.73
    orer
    1.68
    orem
    1.56
    orest
    1.44
    orers
    1.43
    Activations Density 0.012%

    No Known Activations