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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. 8-RES-JB
    11. 3124
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    Explanations

    phrases related to threats and intimidation

    oai_token-act-pair · gpt-3.5-turbo

    references to threats and complaints, particularly involving harassment and requests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bip
    -0.72
    arist
    -0.71
    illac
    -0.70
     tripod
    -0.68
    icz
    -0.66
     ESV
    -0.65
    hess
    -0.65
    sonian
    -0.64
    coat
    -0.64
     PBS
    -0.64
    POSITIVE LOGITS
    mith
    0.92
     mailed
    0.90
    olicited
    0.89
     emanating
    0.85
    uggest
    0.83
     requests
    0.82
     solicitation
    0.81
     directed
    0.80
    pring
    0.80
     totaling
    0.80
    Activations Density 0.272%

    No Known Activations