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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. 7-RES-JB
    11. 14144
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    Explanations

    phrases related to news articles

    oai_token-act-pair · gpt-3.5-turbo

    calls to action or prompts for further engagement

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    phies
    -0.70
    perties
    -0.70
    angers
    -0.64
    Downloadha
    -0.64
     Johns
    -0.63
    asketball
    -0.62
    Reloaded
    -0.61
     nucleus
    -0.60
    phi
    -0.59
    agne
    -0.58
    POSITIVE LOGITS
     ALSO
    1.13
    ING
    1.07
    INGS
    1.01
     MORE
    1.00
     TRAN
    0.99
    LESS
    0.96
    ME
    0.96
    BOOK
    0.95
    LIN
    0.93
     ABOUT
    0.93
    Activations Density 0.016%

    No Known Activations