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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. 1375
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    Explanations

    phrases related to actions taken by individuals or entities, particularly in terms of their intentions and motivations

    oai_token-act-pair · gpt-3.5-turbo

    references to legal actions and the concept of acting in self-defense

    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
     Gloss
    -0.83
    kered
    -0.79
     cake
    -0.69
     Glac
    -0.66
    terson
    -0.65
    flying
    -0.65
    points
    -0.64
    olds
    -0.64
    ertility
    -0.64
    hedral
    -0.64
    POSITIVE LOGITS
     behalf
    0.91
     responsibly
    0.87
     impuls
    0.85
     behest
    0.82
     ACTIONS
    0.82
     negligent
    0.80
    respons
    0.79
    soever
    0.79
     contrary
    0.78
     lawfully
    0.78
    Activations Density 0.202%

    No Known Activations