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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 738
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    Explanations

    phrases related to legal convictions in criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    references to legal convictions and associated terms

    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
    gm
    -0.74
    ebus
    -0.71
    hy
    -0.70
    ophe
    -0.69
    iverse
    -0.68
    ussed
    -0.66
    edia
    -0.65
    phies
    -0.64
    hare
    -0.64
    ffee
    -0.63
    POSITIVE LOGITS
     felon
    1.13
     convict
    0.91
     guilty
    0.90
     fel
    0.89
     convictions
    0.86
     sentencing
    0.85
     convicted
    0.85
     perjury
    0.84
     criminal
    0.84
    eering
    0.84
    Activations Density 0.048%

    No Known Activations