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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. 8-RES-JB
    11. 10747
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    Explanations

    food ingredients and cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.74
    PIN
    -0.71
    gow
    -0.68
    hearted
    -0.66
    oyal
    -0.66
    zers
    -0.65
    quist
    -0.64
    ood
    -0.64
    forward
    -0.63
    uple
    -0.63
    POSITIVE LOGITS
     huh
    0.91
     etc
    0.83
     please
    0.83
     LLC
    0.75
     supra
    0.75
     aka
    0.71
    048
    0.71
     ISBN
    0.70
     eh
    0.70
     preferably
    0.69
    Activations Density 0.282%

    No Known Activations