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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. 3-RES-JB
    11. 21141
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    Explanations

    time references

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Published" followed by a specific date

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ixel
    -0.79
    pt
    -0.76
    umatic
    -0.76
    ø
    -0.74
    xa
    -0.74
    ift
    -0.73
    antics
    -0.73
    adows
    -0.71
    adra
    -0.70
    idal
    -0.70
    POSITIVE LOGITS
    Published
    1.04
    lishing
    0.90
     Published
    0.77
    ccording
    0.76
    Ô
    0.76
    âĸ¬
    0.74
    lisher
    0.74
    âĸ¬âĸ¬
    0.72
     Helpful
    0.72
    Writer
    0.72
    Activations Density 0.015%

    No Known Activations