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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. 0-RES-JB
    11. 12754
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    Explanations

    mentions of various types of fees

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of fees

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yg
    -0.75
     VK
    -0.67
    ivot
    -0.67
     Dion
    -0.66
    inch
    -0.66
    weak
    -0.65
    rophe
    -0.64
    yang
    -0.63
    comb
    -0.63
    rix
    -0.62
    POSITIVE LOGITS
     fees
    3.84
     Fees
    3.05
     fee
    2.78
     Fee
    2.01
     expenses
    1.69
     costs
    1.67
    fee
    1.66
     dues
    1.56
     taxes
    1.53
     commissions
    1.52
    Activations Density 0.009%

    No Known Activations