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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. 21705
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    Explanations

    phrases related to financial gain

    oai_token-act-pair · gpt-3.5-turbo

    references to profit in various contexts

    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
    nu
    -0.72
    mu
    -0.72
    pell
    -0.71
    OG
    -0.70
    HCR
    -0.70
    ocal
    -0.67
     Sturgeon
    -0.66
    confirmed
    -0.66
    ocally
    -0.65
    cling
    -0.63
    POSITIVE LOGITS
     margins
    1.09
     margin
    1.03
     profit
    1.01
    ably
    0.90
    iciary
    0.88
     profits
    0.88
    ulent
    0.87
     Profit
    0.85
    olicy
    0.83
     earnings
    0.81
    Activations Density 0.008%

    No Known Activations