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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. 12223
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    Explanations

    specifically the word "said" followed by qualitatively descriptive language

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases indicating assertions or statements made by individuals

    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
    estern
    -0.80
    bowl
    -0.69
    eatured
    -0.68
    ãĤ¼ãĤ¦ãĤ¹
    -0.66
    irable
    -0.66
    aceae
    -0.63
    yna
    -0.63
    famous
    -0.62
    resa
    -0.61
    eal
    -0.61
    POSITIVE LOGITS
     nonetheless
    1.24
     nevertheless
    1.06
    etheless
    0.87
     none
    0.84
     it
    0.78
     doubts
    0.76
     retaining
    0.72
     caution
    0.71
     there
    0.70
     afterward
    0.70
    Activations Density 0.277%

    No Known Activations