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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. 10-RES-JB
    11. 8215
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    Explanations

    phrases related to capability or ability

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate capability or potential

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lass
    -0.67
    bilt
    -0.66
    olitical
    -0.65
    tex
    -0.65
    wind
    -0.65
    ritz
    -0.64
    ethe
    -0.63
    fty
    -0.62
    tec
    -0.62
    check
    -0.62
    POSITIVE LOGITS
     delivering
    1.45
     inflicting
    1.38
     producing
    1.37
     converting
    1.35
     completing
    1.34
     providing
    1.32
     reaching
    1.31
     doing
    1.31
     achieving
    1.30
     harming
    1.30
    Activations Density 0.108%

    No Known Activations