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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. 7-RES-JB
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    Explanations

    terms related to legal matters, specifically probation and parole

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal supervision and correctional measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pace
    -0.71
    paces
    -0.70
    mind
    -0.65
    Dust
    -0.64
     VID
    -0.64
    rencies
    -0.63
    shadow
    -0.63
    brush
    -0.63
    akespeare
    -0.62
    uscript
    -0.61
    POSITIVE LOGITS
     probation
    1.06
    ary
    0.94
     revocation
    0.90
     parole
    0.84
    ally
    0.82
     supervision
    0.77
    ilitation
    0.77
    urous
    0.74
     rehabilit
    0.74
     eligibility
    0.74
    Activations Density 0.029%

    No Known Activations