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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
    11. 9553
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    INDEX
    Explanations

    studio names or references

    oai_token-act-pair · gpt-3.5-turbo

    references to various film and animation studios

    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
    pair
    -0.72
     food
    -0.69
     object
    -0.64
     iod
    -0.64
     spoken
    -0.63
     fed
    -0.62
     q
    -0.62
     trace
    -0.60
     toast
    -0.59
     contr
    -0.59
    POSITIVE LOGITS
     Studios
    3.95
     studios
    2.37
     Studio
    2.04
     Productions
    1.82
    Studio
    1.79
     studio
    1.72
     Films
    1.59
    Stud
    1.51
     Entertainment
    1.35
     Cinem
    1.30
    Activations Density 0.010%

    No Known Activations