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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. 4495
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    Explanations

    references to refining or refineries

    oai_token-act-pair · gpt-3.5-turbo

    references to manufacturing processes

    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
    DragonMagazine
    -0.68
     Invalid
    -0.67
    Magikarp
    -0.65
    realDonaldTrump
    -0.64
    hunt
    -0.64
     Poles
    -0.63
    amaru
    -0.62
    MSN
    -0.62
     Dull
    -0.62
    soever
    -0.61
    POSITIVE LOGITS
    ocused
    1.10
    actor
    1.06
    raction
    1.06
    inished
    1.03
    racted
    1.03
    ractive
    1.03
    ract
    1.02
    ocusing
    0.96
    inement
    0.96
    ashion
    0.95
    Activations Density 0.010%

    No Known Activations