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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. 9-RES-JB
    11. 3607
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    Explanations

    proper nouns, particularly related to technology and products

    oai_token-act-pair · gpt-3.5-turbo

    specific product names or terms related to technology and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ounter
    -0.74
    äºĶ
    -0.65
    ounters
    -0.64
     Tas
    -0.64
    ORK
    -0.63
    interstitial
    -0.59
    女
    -0.59
    ãĥ£
    -0.55
     Mam
    -0.54
    ccording
    -0.54
    POSITIVE LOGITS
    baugh
    0.71
    pedia
    0.67
    sworth
    0.66
    andowski
    0.66
    ricted
    0.66
    idine
    0.66
    Source
    0.66
     Labs
    0.65
    erton
    0.65
     Runner
    0.63
    Activations Density 0.292%

    No Known Activations