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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 8160
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    Explanations

    comparisons or contrasts between different concepts or entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases and words associated with negative attributes or conditions

    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
    doms
    -0.64
    sheets
    -0.60
     administrations
    -0.60
    ipeg
    -0.60
    iots
    -0.58
     coats
    -0.58
     wills
    -0.56
     backgrounds
    -0.56
    bats
    -0.56
    roots
    -0.56
    POSITIVE LOGITS
     TBD
    0.57
     enough
    0.51
     Beir
    0.51
    omorphic
    0.50
     Gibraltar
    0.50
    actly
    0.50
    omorph
    0.50
     Cunningham
    0.48
     synonymous
    0.48
    urated
    0.48
    Activations Density 1.324%

    No Known Activations