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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. 3-RES-JB
    11. 6424
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    Explanations

    terms related to marketing strategies and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Direct" or variations of it in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Schne
    -0.78
    OAD
    -0.71
    anners
    -0.70
     Brav
    -0.68
     Kaufman
    -0.68
    glers
    -0.68
    EAR
    -0.68
     Haram
    -0.67
    ILLE
    -0.66
     Wilde
    -0.66
    POSITIVE LOGITS
    ions
    1.02
    iate
    0.97
    ories
    0.91
    cuts
    0.90
    irect
    0.88
    lined
    0.86
    edly
    0.85
    ives
    0.85
    direct
    0.85
    Direct
    0.83
    Activations Density 0.013%

    No Known Activations