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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. 9402
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    Explanations

    references to spending money or resources

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "spend"

    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
     Sie
    -0.64
     pronounced
    -0.64
     Rodham
    -0.63
     Conan
    -0.62
     Blitz
    -0.60
     conver
    -0.60
     deton
    -0.60
     NEC
    -0.59
     afore
    -0.59
     teased
    -0.59
    POSITIVE LOGITS
    itures
    1.29
    iture
    1.12
     IPM
    0.87
    edIn
    0.87
    anke
    0.84
    htaking
    0.83
     lav
    0.82
     Spend
    0.82
    ornings
    0.80
    ãĤ£
    0.80
    Activations Density 0.023%

    No Known Activations