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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. 11719
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    INDEX
    Explanations

    terms related to specific proper nouns, such as 'Japanese whisky', 'Sikh faith', 'Deadpool', 'Airbnb', 'WWE CEO', 'Toronto', and 'Trump'

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns related to food, entertainment, and cultural references

    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
     referen
    -0.47
    Discussion
    -0.46
     Leilan
    -0.45
     Kik
    -0.45
    ãĥ¼ãĥĨ
    -0.43
    ]+
    -0.43
     Moroc
    -0.42
    OVA
    -0.41
    代
    -0.41
    ]=
    -0.40
    POSITIVE LOGITS
    weed
    0.47
     DRAGON
    0.46
     largeDownload
    0.44
    taboola
    0.43
    ANS
    0.42
    terness
    0.41
    NetMessage
    0.41
    urch
    0.40
     âĢº
    0.40
    pin
    0.39
    Activations Density 3.533%

    No Known Activations