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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. 7-RES-JB
    11. 1710
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    Explanations

    phrases related to the "Fast and Furious" movie franchise

    oai_token-act-pair · gpt-3.5-turbo

    references to the Fast and Furious franchise or related themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.91
     sep
    -0.79
    ¿½
    -0.77
    ById
    -0.71
    =-=-=-=-
    -0.70
    è»
    -0.68
    UF
    -0.68
    çīĪ
    -0.67
    ÃįÃį
    -0.67
     Loren
    -0.65
    POSITIVE LOGITS
     paced
    0.98
    twitch
    0.78
     reload
    0.74
     gratification
    0.72
     turnaround
    0.72
     Furious
    0.71
    charging
    0.70
    itiveness
    0.69
    acting
    0.69
    paced
    0.69
    Activations Density 0.177%

    No Known Activations