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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. 3-RES-JB
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    Explanations

    references to a specific movie franchise called "Fast and Furious"

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Fast and Furious" media franchise and related law enforcement operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elong
    -0.92
    icter
    -0.85
    ower
    -0.84
    inen
    -0.82
    ļéĨĴ
    -0.81
    utra
    -0.80
    代
    -0.78
    aird
    -0.77
    anish
    -0.77
    ľ
    -0.76
    POSITIVE LOGITS
     Furious
    1.06
     tracing
    0.74
     ATF
    0.70
     bullets
    0.70
    Reply
    0.68
     franchise
    0.66
     innocence
    0.65
     impat
    0.62
     renew
    0.62
     anticipation
    0.62
    Activations Density 0.030%

    No Known Activations