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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    verbs related to theft or unethical acquisition

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "steal" in various contexts

    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
    band
    -0.72
    alist
    -0.72
    ternity
    -0.68
    present
    -0.66
    astical
    -0.66
    iasm
    -0.66
    pora
    -0.65
    night
    -0.64
    ichick
    -0.63
    shr
    -0.61
    POSITIVE LOGITS
    weed
    0.87
     stolen
    0.76
     steals
    0.73
    bage
    0.72
     Steal
    0.71
    ibrary
    0.71
    ster
    0.71
     stealing
    0.70
    ezvous
    0.70
     glances
    0.66
    Activations Density 0.013%

    No Known Activations