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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. 0-RES-JB
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    Explanations

    words related to historical economic events, with a focus on the Great Depression

    oai_token-act-pair · gpt-3.5-turbo

    references to significant economic downturns, particularly the Great Depression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     learnt
    -0.89
    ieg
    -0.78
    rt
    -0.71
     travelled
    -0.69
     honour
    -0.67
     pouch
    -0.67
     seal
    -0.66
     uncond
    -0.66
     gate
    -0.65
    lege
    -0.65
    POSITIVE LOGITS
     Depression
    3.58
     Recession
    1.91
    ARP
    1.32
     Prohibition
    1.21
     Reconstruction
    1.13
     Anxiety
    1.04
     Confederacy
    0.99
     Disorder
    0.98
     Cull
    0.96
     Mood
    0.96
    Activations Density 0.022%

    No Known Activations