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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. 2-RES-JB
    11. 11230
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    Explanations

    strongly emotional and expressive language, such as rants and tirades

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong verbal criticism or emotional outbursts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    earances
    -0.88
    rity
    -0.80
    undai
    -0.77
    apixel
    -0.75
    rafted
    -0.74
    elly
    -0.73
    pleting
    -0.73
    earned
    -0.72
    ovember
    -0.72
    itions
    -0.71
    POSITIVE LOGITS
     tir
    1.41
     rant
    1.22
     comments
    0.83
     outburst
    0.82
     remarks
    0.80
     spew
    0.78
     aloud
    0.78
     angrily
    0.78
     loudly
    0.74
     Tant
    0.70
    Activations Density 0.025%

    No Known Activations