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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. 7-RES-JB
    11. 2294
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    INDEX
    Explanations

    mentions of investors

    oai_token-act-pair · gpt-3.5-turbo

    references to investors in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    times
    -0.75
    ologies
    -0.71
    Dispatch
    -0.70
    Pg
    -0.69
    alities
    -0.68
    Prev
    -0.68
    âĶĢ
    -0.67
    tein
    -0.66
    bons
    -0.65
    apple
    -0.64
    POSITIVE LOGITS
     investor
    0.95
     investors
    0.92
     investing
    0.92
     Investors
    0.88
     bankers
    0.84
     hedge
    0.82
    hips
    0.81
     banker
    0.81
     fund
    0.79
    anke
    0.76
    Activations Density 0.035%

    No Known Activations