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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. 12-RES-JB
    11. 4410
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    Explanations

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    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to images and photos

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sed
    -0.68
     nonviolent
    -0.67
     sidel
    -0.66
     territ
    -0.65
     indo
    -0.64
     symp
    -0.63
    emet
    -0.63
     scrut
    -0.62
     neut
    -0.62
     underestimated
    -0.61
    POSITIVE LOGITS
     1
    0.88
     Transcript
    0.87
     Continued
    0.76
     Specifications
    0.76
     Used
    0.74
     Expand
    0.74
     Caption
    0.72
     Loading
    0.70
     Details
    0.68
     Navigation
    0.68
    Activations Density 0.020%

    No Known Activations