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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. 1-RES-JB
    11. 8757
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    Explanations

    phrases related to the act of theft or stealing

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "steal" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anamo
    -0.80
    etheless
    -0.75
    astical
    -0.74
    alist
    -0.72
    foreseen
    -0.69
    ominated
    -0.68
    ternity
    -0.68
    ichick
    -0.67
    than
    -0.65
    pora
    -0.64
    POSITIVE LOGITS
     steals
    0.92
     steal
    0.92
     stealing
    0.90
     Steal
    0.87
    weed
    0.83
     stolen
    0.77
     stole
    0.77
    ezvous
    0.77
    ster
    0.73
     thefts
    0.73
    Activations Density 0.007%

    No Known Activations