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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. 6-RES-JB
    11. 20626
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    Explanations

    phrases related to eligibility, qualification, and requirements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to qualification criteria and eligibility for various programs or benefits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hur
    -0.75
    bugs
    -0.73
    hed
    -0.69
    clock
    -0.67
    killing
    -0.67
    weak
    -0.67
    sburg
    -0.67
     revolves
    -0.66
    sworth
    -0.66
    frames
    -0.65
    POSITIVE LOGITS
     Medicaid
    0.85
     exemption
    0.79
     exemptions
    0.77
     reimbursement
    0.76
    ioxide
    0.76
     Survivor
    0.73
     waivers
    0.69
    ãģĨ
    0.69
     Attribution
    0.69
     concess
    0.68
    Activations Density 0.083%

    No Known Activations