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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. 14848
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    Explanations

    expressions emphasizing a high degree of something with the phrase "so much"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "much" indicating a degree or intensity of something

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ħĭ
    -0.88
    atures
    -0.79
    selves
    -0.78
    pherd
    -0.78
    byn
    -0.77
    saf
    -0.76
    pta
    -0.75
    İĭ
    -0.75
    Ń·
    -0.74
    Enlarge
    -0.73
    POSITIVE LOGITS
     fun
    0.87
     negativity
    0.85
     crap
    0.82
     firepower
    0.82
     hype
    0.78
     garbage
    0.78
     shit
    0.76
     dmg
    0.76
     misinformation
    0.76
     trouble
    0.73
    Activations Density 0.047%

    No Known Activations