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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. 7091
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    Explanations

    terms related to the word "effort", especially emphasizing strong effort

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "effort" in different 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
     oath
    -0.81
     Oath
    -0.64
    SHIP
    -0.62
     Ukrain
    -0.62
    )=(
    -0.62
     derog
    -0.62
    krit
    -0.61
    BOOK
    -0.61
    seed
    -0.60
     chiefs
    -0.60
    POSITIVE LOGITS
    luent
    1.27
    orts
    1.24
    ence
    1.21
    icult
    1.21
    emin
    1.20
    erence
    1.18
    encing
    1.16
    endi
    1.15
    raction
    1.12
    iency
    1.12
    Activations Density 0.043%

    No Known Activations