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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. 9-RES-JB
    11. 13064
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    Explanations

    the word "Author" or related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to authors in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ĥª
    -0.70
    ndum
    -0.66
     Canaveral
    -0.64
     snapping
    -0.63
     Nicaragua
    -0.61
     Spears
    -0.61
     Messi
    -0.58
     Leaders
    -0.58
     Manila
    -0.58
     Breaker
    -0.57
    POSITIVE LOGITS
    itatively
    1.63
    itar
    1.47
    itarian
    1.29
    hip
    1.26
    itative
    1.25
    izations
    1.14
    isations
    1.08
    isation
    1.02
    izes
    1.00
    sonian
    0.94
    Activations Density 0.049%

    No Known Activations