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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. 4-RES-JB
    11. 2000
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    Explanations

    words related to health issues or negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negative conditions or detrimental qualities

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

    No Comments

    Negative Logits
     Carbuncle
    -0.77
    BOOK
    -0.73
    æĸ¹
    -0.71
    uyomi
    -0.71
     Teach
    -0.70
    DragonMagazine
    -0.69
     Decoder
    -0.69
     Emirates
    -0.69
    éĹĺ
    -0.68
     Polo
    -0.67
    POSITIVE LOGITS
    ignant
    1.06
    adies
    1.06
    colm
    1.02
    arial
    1.00
    formed
    0.98
     mal
    0.96
    igned
    0.87
    practice
    0.87
    umb
    0.86
    icious
    0.85
    Activations Density 0.010%

    No Known Activations