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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. 10563
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    INDEX
    Explanations

    mentions of various types of renewable and nuclear power sources

    oai_token-act-pair · gpt-3.5-turbo

    references to solar and renewable energy

    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
    ĸļ
    -1.08
    ozo
    -0.78
    odox
    -0.78
    oid
    -0.75
    nee
    -0.74
     Anxiety
    -0.74
    @#&
    -0.74
    cus
    -0.72
     Wrest
    -0.72
    bart
    -0.72
    POSITIVE LOGITS
     plants
    1.29
     installations
    1.20
     reactors
    1.13
     plant
    1.12
     turbines
    1.11
     generation
    1.10
     technologies
    1.10
     electricity
    1.09
     powering
    1.09
     renewables
    1.06
    Activations Density 0.156%

    No Known Activations