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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of the company "Wells Fargo"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Wells Fargo company

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    eer
    -0.79
    eers
    -0.72
    Agg
    -0.72
    elist
    -0.71
     elig
    -0.69
    eering
    -0.64
     Abyssal
    -0.64
    emort
    -0.64
     inval
    -0.64
    ++++++++++++++++
    -0.63
    POSITIVE LOGITS
     Fargo
    1.49
     Wells
    0.93
    brook
    0.89
    ocrates
    0.86
    orrow
    0.85
    esley
    0.85
     Compton
    0.79
    linger
    0.79
     Brothers
    0.78
    ford
    0.78
    Activations Density 0.006%

    No Known Activations