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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. 9961
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    INDEX
    Explanations

    phrases related to rules, consequences, and expectations

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs and expressions indicating obligations or possibilities

    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
    rawdownloadcloneembedreportprint
    -0.69
     Vers
    -0.61
    /-
    -0.61
     jurisd
    -0.58
     Ply
    -0.58
    enge
    -0.57
     Spread
    -0.56
     transpired
    -0.56
     mater
    -0.55
     Roll
    -0.54
    POSITIVE LOGITS
     nonetheless
    1.07
     nevertheless
    1.06
    etheless
    0.85
     likewise
    0.83
     themselves
    0.77
    Ĥİ
    0.76
     suddenly
    0.73
    also
    0.72
    onite
    0.69
    camp
    0.68
    Activations Density 0.413%

    No Known Activations