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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. 3-RES-JB
    11. 5393
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    INDEX
    Explanations

    chemical elements or compounds, with a focus on gases

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to gases and their effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esan
    -0.64
    noon
    -0.62
    ership
    -0.61
    oÄŁ
    -0.61
     Line
    -0.60
     Bulldogs
    -0.59
    Leader
    -0.58
    York
    -0.57
    ful
    -0.57
    Commission
    -0.57
    POSITIVE LOGITS
    paces
    1.31
    mith
    1.28
    ynthesis
    1.25
    uggest
    1.18
    afety
    1.07
    ensitive
    1.06
    ystem
    1.04
    chool
    1.04
    cape
    1.02
    uits
    1.02
    Activations Density 0.107%

    No Known Activations