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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. 2-RES-JB
    11. 15865
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    Explanations

    mentions of fees and charges

    oai_token-act-pair · gpt-3.5-turbo

    various types of fees mentioned in the context of transactions or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MSN
    -0.71
    ãĤ¨ãĥ«
    -0.70
    ovie
    -0.66
    idden
    -0.65
    search
    -0.64
     Cosponsors
    -0.63
    ulz
    -0.63
    ctica
    -0.62
     Oxy
    -0.62
    ãĥ¯ãĥ³
    -0.62
    POSITIVE LOGITS
     fee
    1.14
     fees
    1.07
     waivers
    1.03
     refunds
    0.86
     reimbursement
    0.86
     payment
    0.83
     earners
    0.83
     waiver
    0.82
     refund
    0.82
     payments
    0.80
    Activations Density 0.011%

    No Known Activations