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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. 6-RES-JB
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    Explanations

    information or context related to financial investments and investor relations

    oai_token-act-pair · gpt-3.5-turbo

    references to investors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    times
    -0.72
    ologies
    -0.71
    Pg
    -0.69
    Prev
    -0.69
    tein
    -0.69
    apple
    -0.66
    âĶĢ
    -0.65
    bons
    -0.64
    humans
    -0.63
    Dispatch
    -0.62
    POSITIVE LOGITS
     investor
    0.96
     investors
    0.95
     Investors
    0.93
     investing
    0.89
     bankers
    0.83
     hedge
    0.82
     Investor
    0.80
     banker
    0.80
     fund
    0.80
    hips
    0.79
    Activations Density 0.019%

    No Known Activations