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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. 6-RES-JB
    11. 382
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    INDEX
    Explanations

    common words or transitional phrases that indicate a cause-and-effect relationship

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce statements or transitions in arguments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PF
    -0.69
    NBA
    -0.69
    rolled
    -0.63
     Definitive
    -0.60
    ASED
    -0.58
    roy
    -0.58
     heavyweight
    -0.56
    EStreamFrame
    -0.56
     grunt
    -0.55
     bandwagon
    -0.55
    POSITIVE LOGITS
    aucus
    0.99
    xual
    0.75
    forth
    0.75
    ablishment
    0.71
    ratulations
    0.70
     unless
    0.66
     whenever
    0.65
    llah
    0.65
     excluding
    0.64
    士
    0.63
    Activations Density 0.114%

    No Known Activations