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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. 1-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    mentions of advertisers and advertising-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cay
    -0.70
    ña
    -0.69
     Dew
    -0.68
     Teach
    -0.67
     Martial
    -0.67
    %"
    -0.66
    lda
    -0.65
    Franc
    -0.64
    APS
    -0.64
     Tsu
    -0.63
    POSITIVE LOGITS
    vertis
    1.37
     advertisers
    1.36
     advertis
    1.11
     marketers
    1.05
     advertising
    0.99
     warr
    0.98
     endors
    0.97
     agre
    0.97
     behavi
    0.96
    vertising
    0.96
    Activations Density 0.012%

    No Known Activations