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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. 0-RES-JB
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    Explanations

    references to specific individuals or groups of people in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tweaked
    -0.65
    aqu
    -0.64
    ier
    -0.64
    izarre
    -0.63
    oku
    -0.62
     daddy
    -0.61
    ebook
    -0.61
    iest
    -0.60
     Reborn
    -0.60
     playbook
    -0.59
    POSITIVE LOGITS
     persons
    3.49
     Persons
    2.78
     individuals
    1.91
     person
    1.62
     Individuals
    1.48
     Person
    1.45
    pers
    1.40
     occupants
    1.32
    person
    1.30
     youths
    1.29
    Activations Density 0.012%

    No Known Activations