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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. 11-RES-JB
    11. 1971
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    Explanations

    numerical values indicating time durations

    oai_token-act-pair · gpt-3.5-turbo

    numbers and quantities expressed in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    elvet
    -0.78
    iban
    -0.70
    omon
    -0.68
    isu
    -0.67
     Sov
    -0.64
    raf
    -0.64
    arde
    -0.63
    endered
    -0.63
    ndra
    -0.63
    ulner
    -0.62
    POSITIVE LOGITS
     increments
    1.17
     directions
    1.07
     seconds
    1.02
     languages
    1.02
     minutes
    1.01
     places
    1.01
     installments
    0.98
     batches
    0.93
     days
    0.93
     weeks
    0.93
    Activations Density 0.080%

    No Known Activations