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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. 4-RES-JB
    11. 9456
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    Explanations

    words related to suspense or potential danger

    oai_token-act-pair · gpt-3.5-turbo

    terms related to suspicion or being under investigation

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

    No Comments

    Negative Logits
    eer
    -0.78
    ļéĨĴ
    -0.74
     congr
    -0.69
     Cour
    -0.65
    gie
    -0.63
     Borough
    -0.63
     Telephone
    -0.63
    cule
    -0.62
     baker
    -0.62
     Bread
    -0.62
    POSITIVE LOGITS
    ensions
    1.32
    icious
    1.32
    ension
    1.30
    olicy
    1.17
    ended
    1.13
    endant
    1.02
    ending
    0.97
    ensive
    0.95
    usp
    0.95
    ention
    0.93
    Activations Density 0.013%

    No Known Activations