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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. 11-RES-JB
    11. 18794
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    Explanations

    phrases introducing upcoming events or projects

    oai_token-act-pair · gpt-3.5-turbo

    references to projects or works in progress

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pring
    -0.66
    idious
    -0.60
    ename
    -0.56
     consent
    -0.56
     guiActiveUnfocused
    -0.56
     presence
    -0.54
     Protective
    -0.54
    istant
    -0.54
    lying
    -0.54
    ALD
    -0.54
    POSITIVE LOGITS
     showcases
    1.14
     celebrates
    1.11
     explores
    1.10
     focuses
    1.10
     combines
    1.08
     utilizes
    1.07
     specializes
    1.06
     incorporates
    1.04
     spans
    1.03
     revolves
    1.02
    Activations Density 0.204%

    No Known Activations