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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. 4-RES-JB
    11. 9281
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    Explanations

    references to specific brands or franchises, particularly related to toys or games

    oai_token-act-pair · gpt-3.5-turbo

    mentions of popular franchises and brands in entertainment, particularly Transformers and Sega

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

    No Comments

    Negative Logits
    lier
    -0.93
    acies
    -0.91
    idation
    -0.89
    iar
    -0.89
    ozo
    -0.88
    asus
    -0.88
    rison
    -0.84
    nel
    -0.83
    alid
    -0.83
    ippi
    -0.83
    POSITIVE LOGITS
     Crus
    0.78
     Turtles
    0.78
     Titans
    0.76
     Transformers
    0.75
     Skydragon
    0.73
     Mutant
    0.71
     WB
    0.69
     Unic
    0.69
     Braun
    0.68
     Genesis
    0.67
    Activations Density 0.039%

    No Known Activations