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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. 9-RES-JB
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    Explanations

    information related to legal sentences and imprisonment

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating sentencing and prison terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perture
    -0.80
    idem
    -0.76
    falls
    -0.69
    ority
    -0.69
    DragonMagazine
    -0.67
    yz
    -0.67
    TPPStreamerBot
    -0.67
    phies
    -0.65
    marks
    -0.64
    marked
    -0.63
    POSITIVE LOGITS
     imprisonment
    1.09
     jail
    1.06
     probation
    1.06
     indefinite
    1.00
     incarceration
    1.00
     prison
    1.00
     confinement
    0.86
     manslaughter
    0.86
     punishment
    0.85
     Detention
    0.84
    Activations Density 0.082%

    No Known Activations