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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
    11. 18094
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    Explanations

    words related to data retention, budgets, and employee retention

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to data retention and record-keeping

    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
     Pascal
    -0.73
    ques
    -0.70
     Brothers
    -0.70
     Commun
    -0.70
    din
    -0.69
    anas
    -0.65
    pher
    -0.65
    Resources
    -0.65
     Galile
    -0.64
    elines
    -0.64
    POSITIVE LOGITS
     retention
    2.13
     drain
    1.50
     keeper
    1.46
     stain
    1.26
     coil
    1.17
     deteriorated
    1.16
     corrosion
    1.14
    lime
    1.05
     remorse
    1.01
     shaft
    1.00
    Activations Density 0.046%

    No Known Activations