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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. 5096
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    INDEX
    Explanations

    words related to moral or ethical choices and consequences

    oai_token-act-pair · gpt-3.5-turbo

    themes related to moral dilemmas and existential consequences

    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
     Cosponsors
    -0.97
    arnaev
    -0.73
    uds
    -0.71
     Ingredients
    -0.70
     Customers
    -0.70
    strings
    -0.70
    pects
    -0.69
    styles
    -0.69
    gram
    -0.69
     Models
    -0.68
    POSITIVE LOGITS
     extinction
    1.60
     annihilation
    1.59
     dissolution
    1.58
     cessation
    1.56
     disappearance
    1.55
     abandonment
    1.51
     exhaustion
    1.50
     immortality
    1.48
     paralysis
    1.48
     starvation
    1.46
    Activations Density 0.423%

    No Known Activations