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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. 8-RES-JB
    11. 2105
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    Explanations

    phrases related to unfortunate or negative events such as deaths, imprisonment, abuse, and injustice

    oai_token-act-pair · gpt-3.5-turbo

    references to death and its consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BIT
    -0.72
    indust
    -0.70
    UNCH
    -0.68
    Nit
    -0.63
    çĶ°
    -0.62
    Area
    -0.59
    Disk
    -0.57
     Gim
    -0.56
    Dub
    -0.56
    Production
    -0.56
    POSITIVE LOGITS
     wrongly
    0.87
     unjust
    0.82
     unnecessarily
    0.82
     abroad
    0.80
     prematurely
    0.78
     unfairly
    0.76
     peacefully
    0.75
     incarcerated
    0.74
     invol
    0.74
     violently
    0.72
    Activations Density 0.381%

    No Known Activations