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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
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to image captions and their associated functionalities

    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
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    Negative Logits
    nu
    -0.74
     effected
    -0.65
     stakes
    -0.63
    bats
    -0.63
     tense
    -0.62
     unsuccessful
    -0.62
    milo
    -0.61
     expended
    -0.61
     assum
    -0.59
    phi
    -0.59
    POSITIVE LOGITS
     Transcript
    0.96
    Enlarge
    0.93
    toggle
    0.93
     Courtesy
    0.91
     Thumbnails
    0.88
    advertisement
    0.81
     Archdemon
    0.80
     toggle
    0.80
     Annotations
    0.80
    acters
    0.79
    Activations Density 0.012%

    No Known Activations