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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. 9-RES-JB
    11. 16420
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    Explanations

    information about quantities or characteristics that make something stand out or unique

    oai_token-act-pair · gpt-3.5-turbo

    references to objects or entities that are deemed significant or impactful in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idth
    -0.71
    itia
    -0.65
    ron
    -0.63
    started
    -0.61
    onda
    -0.60
    rote
    -0.60
    eties
    -0.60
     hello
    -0.60
    iesta
    -0.59
    omed
    -0.59
    POSITIVE LOGITS
     unsu
    1.32
     uniquely
    1.08
     ineligible
    1.06
     invaluable
    1.05
     susceptible
    1.05
     attractive
    1.01
     unlikely
    1.01
     unfit
    1.01
     unworthy
    0.99
    inently
    0.98
    Activations Density 0.116%

    No Known Activations