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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. 6-RES-JB
    11. 10680
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    Explanations

    actions or processes related to analyzing, comparing, or identifying

    oai_token-act-pair · gpt-3.5-turbo

    symbols or special characters related to genetic programming or data representation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    anwhile
    -0.76
     familiar
    -0.66
     scatter
    -0.66
     snail
    -0.64
    çĶ°
    -0.64
     collect
    -0.62
     sequ
    -0.61
     recording
    -0.61
     cyan
    -0.60
     transferring
    -0.59
    POSITIVE LOGITS
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    Activations Density 0.359%

    No Known Activations