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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. 1-RES-JB
    11. 842
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    Explanations

    strong and impactful words or phrases likely related to warnings or intense situations

    oai_token-act-pair · gpt-3.5-turbo

    words related to stern or fiery warnings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oreal
    -0.80
    ety
    -0.77
    ovember
    -0.77
    vernment
    -0.75
     Alto
    -0.74
    ãģ®éŃĶ
    -0.70
    itized
    -0.69
    apon
    -0.68
    eteen
    -0.67
    imes
    -0.66
    POSITIVE LOGITS
     stern
    0.94
    anche
    0.73
     course
    0.69
     discipl
    0.69
     lobe
    0.69
    angler
    0.67
     bowel
    0.67
    udder
    0.66
     tremend
    0.64
     artery
    0.64
    Activations Density 0.025%

    No Known Activations