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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. 9-RES-JB
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    Explanations

    references to the company "Wells Fargo."

    oai_token-act-pair · gpt-3.5-turbo

    references to the company Wells Fargo

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illary
    -0.79
    rely
    -0.75
    emonic
    -0.72
    elist
    -0.69
     Abyssal
    -0.67
    âĹ¼
    -0.67
    illac
    -0.64
    Agg
    -0.63
     acad
    -0.62
     unres
    -0.61
    POSITIVE LOGITS
     Fargo
    1.35
    esley
    1.23
    spring
    1.01
    mark
    0.99
    brook
    0.95
    espie
    0.93
    ards
    0.91
    marks
    0.89
    iday
    0.88
    aday
    0.83
    Activations Density 0.049%

    No Known Activations