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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. 6486
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    INDEX
    Explanations

    instances of the word "uber" or words related to extreme excellence or abundance

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "uber" and associated mentions

    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
    ãĥĥãĥī
    -0.69
     cob
    -0.68
     Boh
    -0.66
     Sabha
    -0.65
     Solitaire
    -0.64
     Lith
    -0.60
     bos
    -0.59
     Haiti
    -0.59
     Ib
    -0.58
     Led
    -0.57
    POSITIVE LOGITS
    culosis
    1.69
    uber
    0.97
    cul
    0.91
    ilities
    0.87
    TAIN
    0.81
    geon
    0.79
    fleet
    0.79
    isms
    0.78
    icity
    0.77
    ber
    0.77
    Activations Density 0.008%

    No Known Activations