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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. 2-RES-JB
    11. 3077
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    Explanations

    references to film production companies

    oai_token-act-pair · gpt-3.5-turbo

    references to film production companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itability
    -0.84
    icycle
    -0.77
    attled
    -0.70
    iable
    -0.69
     Contra
    -0.67
    ifling
    -0.67
    ggies
    -0.65
    gel
    -0.64
    liest
    -0.63
    iability
    -0.62
    POSITIVE LOGITS
     Pictures
    1.40
     Studios
    0.95
     Picture
    0.88
     Studio
    0.83
     Properties
    0.82
     warr
    0.79
    ystem
    0.79
     Credits
    0.79
    film
    0.79
    sburg
    0.78
    Activations Density 0.010%

    No Known Activations