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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. 4-RES-JB
    11. 13478
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    Explanations

    parameters or technical terms in a document

    oai_token-act-pair · gpt-3.5-turbo

    technical parameters and military terminology

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

    No Comments

    Negative Logits
    icago
    -0.89
    sonian
    -0.72
    pace
    -0.70
     Murdoch
    -0.69
    ymes
    -0.68
    âĸ¬
    -0.68
    ï¸
    -0.67
     Maw
    -0.66
     Poe
    -0.64
    ï¸ı
    -0.64
    POSITIVE LOGITS
    ilitary
    1.45
    etric
    1.12
    eter
    1.07
    eters
    1.00
    etr
    1.00
    etrical
    0.96
    agnetic
    0.96
    ities
    0.88
    acet
    0.87
    uncle
    0.87
    Activations Density 0.010%

    No Known Activations