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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. 7-RES-JB
    11. 14296
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to digital technology or internet-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IENCE
    -0.73
    ONSORED
    -0.72
     Belief
    -0.70
    CVE
    -0.69
    Demand
    -0.66
    reditary
    -0.63
     srfAttach
    -0.63
    ISTORY
    -0.62
    itable
    -0.62
     HELP
    -0.62
    POSITIVE LOGITS
    dot
    1.15
    ronics
    0.84
    ting
    0.81
    rix
    0.80
    oday
    0.78
     dot
    0.78
    ching
    0.77
    uate
    0.76
    biz
    0.76
    rice
    0.74
    Activations Density 0.025%

    No Known Activations